Jackery HomePower 1000 Plus v2 Red Cross Edition vs HomePower 1000 v2
HomePower 1000 v2 — Pick the HomePower 1000 v2 — it leads these groups: Design 1
Tap a group name to see the proof · The scoring method is public
The short answer
HomePower 1000 v2 wins this comparison with a score of 39/100, ahead of Jackery HomePower 1000 Plus v2 Red Cross Edition (38).
The main differences: Max output (2400 W vs 1800 W) · Weight (18597.2 g vs 10795.4 g).
Scores are computed from 3 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.
At a glance
0–100 per group, normalized within the category · Tap a group for details
How to choose
Pick the Jackery HomePower 1000 Plus v2 Red Cross Edition if you care about…
- Max output 2400 W +600 W vs 1800 W
Pick the HomePower 1000 v2 if you care about…
- Weight 10795.4 g +7801.7 g vs 18597.2 g
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Where they differ
2 · Only rows that actually differ, with a verdict per row
| Jackery HomePower 1000 Plus v2 Red Cross Edition | HomePower 1000 v2 | Where they differ | |
|---|---|---|---|
| Max output | 2400 W | 1800 W | Jackery HomePower 1000 Plus v2 Red Cross Edition |
| Weight | 18597.2 g | 10795.4 g | HomePower 1000 v2 |
The record
Grouped and collapsible · Tap a group to fold
Power2▾
| Jackery HomePower 1000 Plus v2 Red Cross Edition | HomePower 1000 v2 | |
|---|---|---|
| Max output | 2400 W | 1800 W |
| AC outlets | — | 7 |
Design1▾
| Jackery HomePower 1000 Plus v2 Red Cross Edition | HomePower 1000 v2 | |
|---|---|---|
| Weight | 18597.2 g | 10795.4 g |
Data sources: Amazon
FAQ
Which is better, Jackery HomePower 1000 Plus v2 Red Cross Edition or HomePower 1000 v2?
HomePower 1000 v2 edges ahead 39 to 38 and leads in Design. Choose Jackery HomePower 1000 Plus v2 Red Cross Edition instead if Max output matters more to you.
What are the main differences?
The main differences: Max output (2400 W vs 1800 W) · Weight (18597.2 g vs 10795.4 g).
How are the scores calculated?
We normalize 3 public spec attributes within the category and weight them by group into a 0–100 score; missing values are inherited from spec-identical twins or imputed at the category median, so a sparse spec sheet never earns an advantage. The methodology is public.