bitunix

Mempool Transaction Count

Intervallo
  • 1M1M
  • 3M3M
  • 6M6M
  • 1Y1Y
  • ALLALL
Scala
  • LineareLineare
  • LogaritmicaLogaritmica
Più recenti
981
2026-10-28 · 981
Variazione 1D
-77.72%
Prec. 4.4K
Variazione 7D
-85.85%
Prec. 6.93K
Variazione 30D
+494.50%
Prec. 165
Percentile 4Y
11%
Tutto lo storico 14%
Massimo storico
203.71K
2023-08-29 · -99.52%
Intervallo 1Y
0 – 12.29K
Dal 2021-10-15
Caricamento dati…

Informazioni sulla metrica

Cosa misura

Mempool Transaction Count is the number of unconfirmed transactions held in the observed mempool at each observation. It is measured in transactions and counts the waiting queue rather than the number confirmed during the day.

Come leggerlo

A growing count means arrivals are outpacing removals in the observed queue; a falling count means the balance has reversed. The recorded peak was 203,711 transactions on August 29, 2023, compared with a full-history median of 6,909.

Transaction count ignores size, fee rate and how many payments each transaction contains. Confirmation is only one way transactions leave: replacement and eviction also reduce the count, and queues differ across nodes. Read daily zeros cautiously, particularly the zero recorded on December 12, 2025.

Frequenza
Giornaliero (UTC 00:00)
Asset
BTC
Categoria
Mempool
Tipo
Valore singolo
Dati dal
2021-10-15
Dati più recenti
2026-10-28
Punti dati
1,840

FAQ

Is pending transaction count the same as daily transaction count?

No. Pending count is the number still waiting at an observation, while daily confirmed count measures transactions included in blocks over a day. A transaction waiting for days can appear in several pending observations.

Does a falling mempool count mean all transactions were confirmed?

Not necessarily. Confirmation reduces the queue, but replacement, expiry, eviction and changes in the observer’s view can also remove entries. The count alone does not distinguish those causes.

Why can a smaller queue still be expensive to use?

A small queue can contain large transactions or many aggressive fee bids. Virtual size and the fee-rate distribution reveal competition that a headcount alone misses.