RetroQuote

Sinclair ZX 80

11 auction sales recorded, 2015–2020. Prices in euro, final bid, shipping excluded.

Sinclair ZX 80
Photo: ESOCOP archive
Working, good condition, typical price
€618average of 4 sales
Range €409 – €944. 3 of 4 with the original box.
All conditions: average €499, range €159 – €1,755.

By condition

Working, good condition
€618
4 sales · €409 – €944 · 3 boxed
Working, poor condition
€206
2 sales · €159 – €253 · 1 boxed
Not working or untested
€201
3 sales · €172 – €237 · 1 boxed
New old stock
€1,755
1 sale · 1 boxed
Unknown condition
€245
1 sale · 1 boxed

Sales over time

Sale prices by yearEach dot is one auction sale, placed by year and price; colour shows the condition, filled dots had the original box.€0€400€800€1,200€1,600€2,0002015201620172018201920202021202220232024202520262020: €639, Working, good condition, boxed2020: €480, Working, good condition2017: €172, Not working or untested2017: €245, Unknown condition, boxed2017: €1755, New old stock, boxed2017: €195, Not working or untested2016: €237, Not working or untested, boxed2016: €253, Working, poor condition, boxed2016: €409, Working, good condition, boxed2016: €159, Working, poor condition2015: €944, Working, good condition, boxed
Working, goodWorking, poorNot working / untested New old stockUnknownfilled = with original box

All recorded sales

WhenConditionBoxPrice
2020 Working, good condition Boxed €639
2020 Working, good condition — €480
2017 Not working or untested — €172
2017 Unknown condition Boxed €245
2017 New old stock Boxed €1,755
2017 Not working or untested — €195
2016 Not working or untested Boxed €237
2016 Working, poor condition Boxed €253
2016 Working, good condition Boxed €409
2016 Working, poor condition — €159
2015 Working, good condition Boxed €944

How to read these numbers

Every price is the final bid of a public auction that actually closed with a sale, converted to euro at the exchange rate of that day and checked by a reviewer. Fixed-price sales, bundles and spare parts are left out. Figures are averages of the recorded sales, so a model with few sales can swing from one year to the next: check the number of sales behind each figure. More on the method.

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