German township — commute flow to neighboring towns/cities (2023)
Butler township — 21 (Middle)Clay township — 7 (Lower)Clayton — 21 (Middle)Dayton — 418 (Higher)Englewood — 12 (Lower-middle)Harrison township — 29 (Middle)Huber Heights — 30 (Upper-middle)Jackson township — 36 (Upper-middle)Jefferson township — 13 (Lower-middle)Kettering — 209 (Higher)Miami township — 426 (Higher)Moraine — 90 (Higher)Oakwood — 14 (Lower-middle)Perry township — 1 (Lower)Riverside — 20 (Middle)Trotwood — 19 (Lower-middle)Union City township — 8 (Lower)Vandalia — 48 (Upper-middle)Washington township — 158 (Higher)Wayne township — 0 (Lower)West Carrollton — 84 (Upper-middle)German township — no data (unmeasured)
Where this is
Shading: Total Jobs
Lower (0 to 8)Lower-middle (12 to 19)Middle (20 to 29)Upper-middle (30 to 84)Higher (90 to 426)No data
Each unit is shaded by its Total Jobs value and grouped into equal-count bands (quantiles) against the other units shown — lighter = lower, darker = higher. It ranks position among the units in view; it does not grade places, and the ranges shift with which units are shown.
The map is bounded to this parent geography — it shows the selected unit among its own siblings only, the same depth rule the drill-down uses. Shading ranks position on the measure among the units shown; it does not grade places.

Click a neighboring town/city to see its own commute flow.

Town/CityTotal Jobs
Miami township426
Dayton418
Kettering209
Franklin township198
Middletown162
Washington township158
Beavercreek township110
Columbus102
Clear Creek township99
Moraine90

Scroll to Top