Dati sul randagismo nella Regione Marche
Dal Rapporto realizzato da Eurispes in Italia nell'anno 2022 il 37,7% degli italiani dai 18 anni in su dichiara di accogliere un animale nella propria famiglia. Ciò significa che se la presenza degli animali nelle case degli italiani è diminuita rispetto al 2020, continua comunque a stazionare su cifre significative rispetto, ad esempio, ai risultati del 2017 (33%), del 2018 (32,4%), del 2019 (33,6%).
Sempre in cima alla classifica degli animali nelle nostre case, anche nel 2022, si trova il cane con il 44,7% di chi ne possiede almeno uno e, in seconda posizione, il gatto, preferito dal 35,4% degli italiani.
(Rapporto Eurispes 2022)
ANAGRAFE CANINA REGIONALE
Il primo passo per il possesso responsabile di un cane ne prevede la registrazione in anagrafe, strumento fondamentale per contrastare il fenomeno del randagismo.
Nella Regione Marche al 31 dicembre 2022 erano iscritti in anagrafe canina regionale 423785, con una media di circa 25.000 iscritti all'anno nell’ultimo periodo (Grafico 1).
![](data:image/png;base64,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)
Grafico 1. Totale cani iscritti annualmente in anagrafe dal 01 gennaio 2012 al 31 dicembre 2022
La distribuzione sul territorio regionale dei cani iscritti in anagrafe, riflette la distribuzione della popolazione marchigiana: nei territori comunali a maggior numero di residenti (immagine 1) si osserva una consistenza di cani più elevata (immagine 2).
![](/Portals/0//OldFiles/Residenti%20per%20comuneREV1.jpg)
Immagine 1. Mappa tematica della distribuzione della popolazione residente nella Regione Marche al 31/12/2016 (fonte dati: ISTAT)
![](/Portals/0//OldFiles/Cani%20per%20comuneREV1.jpg)
Immagine 2. Mappa tematica della distribuzione della popolazione canina iscritta in anagrafe nella Regione Marche al 31/12/2016 (fonte dati: SIVA)