Earlier posts in this series:
Using the public logs from ARRL DX SSB 2020, we can generate the following band-by-band activity maps for the continental U. S.
Earlier posts in this series:
Using the public logs from ARRL DX SSB 2020, we can generate the following band-by-band activity maps for the continental U. S.
Earlier posts in this series:
Using the public logs from ARRL DX CW 2020, we can generate the following band-by-band activity maps for the continental U. S.
Earlier posts in this series:
Using the public logs from ARRL DX SSB 2019, we can generate the following band-by-band activity maps for the continental U. S.
Earlier posts in this series:
Using the public logs from ARRL DX CW 2019, we can generate the following band-by-band activity maps for the continental U. S.
Using the public logs from ARRL DX CW 2018, we can generate the following band-by-band activity maps for the continental U. S.
Using the public logs from the ARRL DX contests, we can generate a rather interesting listing of relative activity in each state (and DC):
I was shocked to see how dominant PA is, in both modes. Naïvely, I would have guessed NY or perhaps MA would have been the states with the most activity.
Using the public logs from ARRL DX CW 2018, we can generate the following band-by-band activity maps for the continental U. S.