Road accidents indicators [41_287]

Updated on DBnomics on February 2, 2024 (6:00 AM)

Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Localization of the accident [ACCIDENT_LOCALIZATON]

Dataset has 1,110 series. Add search filters to narrow them.

Series code 2001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
A.IT.INJUREDINDX.1 135.28958 136.03865 134.89352 134.18722 132.55537 132.8609 134.94406 135.84016 136.31288 136.33056 135.64955 135.15135 135.37338 135.08735 134.2634 134.56413 133.8423 133.81856 132.90866 128.668 128.64031 128.00571
A.IT.INJUREDINDX.2 174.92487 170.10208 170.03773 170.74704 170.3212 170.02778 169.67363 166.75558 168.34426 171.0986 168.21114 168.71544 166.72423 167.14036 172.67676 168.69658 168.6429 164.72396 165.37021 155.29261 157.55471 162.13731
A.IT.INJUREDINDX.3 161.40339 159.77207 159.45419 160.28849 160.01347 160.14591 158.66283 160.46282 160.94102 162.1317 160.878 160.89889 161.29068 161.53712 160.19826 161.2558 160.48693 158.82272 159.47323 150.01338 150.11414 151.171
A.IT.INJUREDINDX.9 141.87989 142.61083 141.30637 140.94172 139.51777 139.82421 141.13942 141.91667 142.642 143.06305 142.00634 141.77699 142.07476 141.86611 141.46981 141.74503 141.054 140.77935 140.19038 134.61597 134.80033 134.71357
A.IT.KILLEDINDX.1 1.63761 1.54903 1.42429 1.39502 1.40338 1.369 1.28267 1.2315 1.15566 1.10261 1.11067 1.12306 1.04515 1.12651 1.15134 1.11588 1.12447 1.10538 1.04803 1.22401 1.13923 1.09426
A.IT.KILLEDINDX.2 5.05031 4.89639 4.79046 4.62791 4.11849 4.42976 3.85772 3.65341 2.86885 3.11284 3.07077 3.50915 3.46465 3.1373 3.3228 2.92735 3.15061 3.49687 3.4156 3.57733 3.22369 3.52239
A.IT.KILLEDINDX.3 6.88489 6.19014 6.95929 6.63164 6.37909 6.06409 5.79092 5.72163 5.05204 4.97685 4.72772 5.03345 4.61917 4.63468 4.6443 4.37663 4.60416 4.40724 4.24294 4.35314 4.10008 4.289
A.IT.KILLEDINDX.9 2.69707 2.62997 2.60157 2.51427 2.42406 2.38069 2.22245 2.1579 1.96699 1.93148 1.87708 1.99386 1.87218 1.90984 1.96403 1.86756 1.93103 1.93216 1.84281 2.02455 1.893 1.90429
A.IT108.INJUREDINDX.1 117.09865 128.75385 130.78652 132.28946 137.21032 137.14421 133.89592 132.81176 129.71907 126.84502 122.61072 124.63054 122.78555
A.IT108.INJUREDINDX.2 171.92982 157.93651 184.53608 168.18182 157.54717 161.98347 147.32143 149.57983 152.63158 145.21739 121.81818 140 158.33333
Dimension codes and labels
[FREQ] Frequency
  • [A] annual
[REF_AREA] Territory
  • [IT] Italy
  • [IT108] Monza e della Brianza
  • [IT109] Fermo
  • [IT110] Barletta-Andria-Trani
  • [IT111] Sud Sardegna
  • [ITC] Nord-ovest
  • [ITC1] Piemonte
  • [ITC11] Torino
  • [ITC12] Vercelli
  • [ITC13] Biella
  • [ITC14] Verbano-Cusio-Ossola
  • [ITC15] Novara
  • [ITC16] Cuneo
  • [ITC17] Asti
  • [ITC18] Alessandria
  • [ITC2] Valle d'Aosta / Vallée d'Aoste
  • [ITC20] Valle d'Aosta / Vallée d'Aoste
  • [ITC3] Liguria
  • [ITC31] Imperia
  • [ITC32] Savona
  • [ITC33] Genova
  • [ITC34] La Spezia
  • [ITC4] Lombardia
  • [ITC41] Varese
  • [ITC42] Como
  • [ITC43] Lecco
  • [ITC44] Sondrio
  • [ITC45] Milano
  • [ITC46] Bergamo
  • [ITC47] Brescia
  • [ITC48] Pavia
  • [ITC49] Lodi
  • [ITC4A] Cremona
  • [ITC4B] Mantova
  • [ITD] Nord-est
  • [ITD1] Provincia Autonoma Bolzano / Bozen
  • [ITD10] Bolzano / Bozen
  • [ITD2] Provincia Autonoma Trento
  • [ITD20] Trento
  • [ITD3] Veneto
  • [ITD31] Verona
  • [ITD32] Vicenza
  • [ITD33] Belluno
  • [ITD34] Treviso
  • [ITD35] Venezia
  • [ITD36] Padova
  • [ITD37] Rovigo
  • [ITD4] Friuli-Venezia Giulia
  • [ITD41] Pordenone
  • [ITD42] Udine
  • [ITD43] Gorizia
  • [ITD44] Trieste
  • [ITD5] Emilia-Romagna
  • [ITD51] Piacenza
  • [ITD52] Parma
  • [ITD53] Reggio nell'Emilia
  • [ITD54] Modena
  • [ITD55] Bologna
  • [ITD56] Ferrara
  • [ITD57] Ravenna
  • [ITD58] Forlì-Cesena
  • [ITD59] Rimini
  • [ITDA] Trentino Alto Adige / Südtirol
  • [ITE] Centro (I)
  • [ITE1] Toscana
  • [ITE11] Massa-Carrara
  • [ITE12] Lucca
  • [ITE13] Pistoia
  • [ITE14] Firenze
  • [ITE15] Prato
  • [ITE16] Livorno
  • [ITE17] Pisa
  • [ITE18] Arezzo
  • [ITE19] Siena
  • [ITE1A] Grosseto
  • [ITE2] Umbria
  • [ITE21] Perugia
  • [ITE22] Terni
  • [ITE3] Marche
  • [ITE31] Pesaro e Urbino
  • [ITE32] Ancona
  • [ITE33] Macerata
  • [ITE34] Ascoli Piceno
  • [ITE4] Lazio
  • [ITE41] Viterbo
  • [ITE42] Rieti
  • [ITE43] Roma
  • [ITE44] Latina
  • [ITE45] Frosinone
  • [ITF] Sud
  • [ITF1] Abruzzo
  • [ITF11] L'Aquila
  • [ITF12] Teramo
  • [ITF13] Pescara
  • [ITF14] Chieti
  • [ITF2] Molise
  • [ITF21] Isernia
  • [ITF22] Campobasso
  • [ITF3] Campania
  • [ITF31] Caserta
  • [ITF32] Benevento
  • [ITF33] Napoli
  • [ITF34] Avellino
  • [ITF35] Salerno
  • [ITF4] Puglia
  • [ITF41] Foggia
  • [ITF42] Bari
  • [ITF43] Taranto
  • [ITF44] Brindisi
  • [ITF45] Lecce
  • [ITF5] Basilicata
  • [ITF51] Potenza
  • [ITF52] Matera
  • [ITF6] Calabria
  • [ITF61] Cosenza
  • [ITF62] Crotone
  • [ITF63] Catanzaro
  • [ITF64] Vibo Valentia
  • [ITF65] Reggio di Calabria
  • [ITG] Isole
  • [ITG1] Sicilia
  • [ITG11] Trapani
  • [ITG12] Palermo
  • [ITG13] Messina
  • [ITG14] Agrigento
  • [ITG15] Caltanissetta
  • [ITG16] Enna
  • [ITG17] Catania
  • [ITG18] Ragusa
  • [ITG19] Siracusa
  • [ITG2] Sardegna
  • [ITG25] Sassari
  • [ITG26] Nuoro
  • [ITG27] Cagliari
  • [ITG28] Oristano
  • [ITG29] Olbia-Tempio
  • [ITG2A] Ogliastra
  • [ITG2B] Medio Campidano
  • [ITG2C] Carbonia-Iglesias
[DATA_TYPE] Indicator
  • [INJUREDINDX] injured in road accidents - in respect of total accidents (per hundred values)
  • [KILLEDINDX] killed in road accidents - in respect of total accidents (per hundred values)
[ACCIDENT_LOCALIZATON] Localization of the accident
  • [1] urban road
  • [2] motorway
  • [3] other roads
  • [9] total
Technical links