Deaths according to Cause of Death 
Results by Autonomous City and Community
Suicides by autonomous community and city of residence, sex and used way. 
Unidades: suicides

	Total	X60. Intentional self-poisoning by and exposure to nonopioid analgesics, antipyretics and antirheumatics	X61. Intentional self-poisoning by and exposure to antiepileptic, sedative-hypnotic, antiparkinsonism and psychotropic drugs, not classified elsewhere	X62. Intentional self-poisoning by and exposure to narcotics and psychodysleptics, not classified elsewhere	X63. Intentional self-poisoning by and exposure to other drugs acting on the autonomic nervous system	X64. Intentional self-poisoning by and exposure to other and unspecified drugs, medicaments and biological substances	X65. Intentional self-poisoning by and exposure to alcohol	X66. Intentional self-poisoning by and exposure to organic solvents and halogenated hydrocarbons and their vapours	X67. Intentional self-poisoning by and exposure to other gases and vapours	X68. Intentional self-poisoning by and exposure to pesticides	X69. Intentional self-poisoning by and exposure to other and unspecified chemicals and noxious substances	X70. Intentional self-harm by hanging, strangulation and suffocation	X71. Intentional self-harm by drowning and submersion	X72. Intentional self-harm by handgun discharge	X73. Intentional self-harm by rifle, shotgun and larger firearm discharge	X74. Intentional self-harm by other and unspecified firearm discharge	X75. Intentional self-harm by explosive material	X76. Intentional self-harm by smoke, fire and flames	X77. Intentional self-harm by steam, hot vapours and hot objects	X78. Intentional self-harm by sharp object	X79. Intentional self-harm by blunt object	X80. Intentional self-harm by jumping from a high place	X81. Intentional self-harm by jumping or lying before moving object	X82. Intentional self-harm by crashing of motor vehicle	X83. Intentional self-harm by other specified means	X84. Intentional self-harm by unspecified means	
Total	
    Both sexes	4.003	13	182	37	1	185	5	3	46	13	87	1.905	104	59	88	32	0	28	2	101	0	988	85	12	9	18	
    Males	2.982	7	91	19	0	91	2	3	40	13	53	1.579	66	57	86	32	0	22	2	89	0	632	72	9	7	10	
    Females	1.021	6	91	18	1	94	3	0	6	0	34	326	38	2	2	0	0	6	0	12	0	356	13	3	2	8	
Andalucía	
    Both sexes	849	0	21	4	0	40	2	0	13	6	28	496	10	7	27	5	0	7	0	19	0	152	6	2	3	1	
    Males	661	0	16	2	0	16	0	0	11	6	17	424	6	7	26	5	0	5	0	16	0	94	5	2	2	1	
    Females	188	0	5	2	0	24	2	0	2	0	11	72	4	0	1	0	0	2	0	3	0	58	1	0	1	0	
Aragón	
    Both sexes	114	1	9	2	0	8	0	0	0	0	5	49	3	3	2	0	0	1	0	3	0	28	0	0	0	0	
    Males	87	0	4	1	0	7	0	0	0	0	3	44	3	3	2	0	0	1	0	2	0	17	0	0	0	0	
    Females	27	1	5	1	0	1	0	0	0	0	2	5	0	0	0	0	0	0	0	1	0	11	0	0	0	0	
Asturias (Principado de)	
    Both sexes	130	1	11	0	0	2	0	1	1	0	0	59	8	0	0	1	0	0	0	6	0	33	7	0	0	0	
    Males	90	0	5	0	0	0	0	1	1	0	0	47	5	0	0	1	0	0	0	5	0	20	5	0	0	0	
    Females	40	1	6	0	0	2	0	0	0	0	0	12	3	0	0	0	0	0	0	1	0	13	2	0	0	0	
Balears (Illes)	
    Both sexes	89	1	4	1	0	7	0	0	3	0	2	48	3	3	0	0	0	1	0	2	0	11	2	0	0	1	
    Males	67	0	1	1	0	3	0	0	3	0	2	40	2	3	0	0	0	1	0	2	0	7	2	0	0	0	
    Females	22	1	3	0	0	4	0	0	0	0	0	8	1	0	0	0	0	0	0	0	0	4	0	0	0	1	
Canarias	
    Both sexes	230	0	14	2	0	8	0	0	1	1	4	112	10	1	2	2	0	4	0	3	0	64	0	0	1	1	
    Males	169	0	6	2	0	4	0	0	1	1	3	98	3	1	2	2	0	2	0	3	0	40	0	0	1	0	
    Females	61	0	8	0	0	4	0	0	0	0	1	14	7	0	0	0	0	2	0	0	0	24	0	0	0	1	
Cantabria	
    Both sexes	48	0	2	1	0	0	0	0	0	0	0	27	5	0	1	0	0	0	0	1	0	9	0	0	1	1	
    Males	40	0	2	0	0	0	0	0	0	0	0	23	4	0	1	0	0	0	0	1	0	7	0	0	1	1	
    Females	8	0	0	1	0	0	0	0	0	0	0	4	1	0	0	0	0	0	0	0	0	2	0	0	0	0	
Castilla y León	
    Both sexes	236	1	12	1	0	9	0	0	2	0	4	106	9	6	11	1	0	3	0	11	0	51	3	4	0	2	
    Males	168	1	6	1	0	4	0	0	1	0	3	81	8	5	10	1	0	2	0	9	0	32	2	2	0	0	
    Females	68	0	6	0	0	5	0	0	1	0	1	25	1	1	1	0	0	1	0	2	0	19	1	2	0	2	
Castilla-La Mancha	
    Both sexes	169	0	0	0	0	17	2	1	2	0	1	97	5	3	5	2	0	0	0	1	0	24	7	2	0	0	
    Males	137	0	0	0	0	11	1	1	1	0	0	82	3	3	5	2	0	0	0	1	0	18	7	2	0	0	
    Females	32	0	0	0	0	6	1	0	1	0	1	15	2	0	0	0	0	0	0	0	0	6	0	0	0	0	
Cataluña	
    Both sexes	576	4	42	8	0	25	0	1	6	2	15	222	11	10	8	2	0	4	1	12	0	167	35	0	1	0	
    Males	435	1	21	5	0	15	0	1	6	2	12	190	7	10	8	2	0	4	1	11	0	111	28	0	0	0	
    Females	141	3	21	3	0	10	0	0	0	0	3	32	4	0	0	0	0	0	0	1	0	56	7	0	1	0	
Comunitat Valenciana	
    Both sexes	403	0	15	9	1	9	1	0	8	1	15	161	5	8	6	3	0	4	0	11	0	134	10	1	1	0	
    Males	299	0	7	5	0	5	1	0	6	1	6	132	4	7	6	3	0	4	0	10	0	90	10	1	1	0	
    Females	104	0	8	4	1	4	0	0	2	0	9	29	1	1	0	0	0	0	0	1	0	44	0	0	0	0	
Extremadura	
    Both sexes	81	0	1	3	0	0	0	0	0	0	2	48	6	2	5	0	0	0	0	4	0	9	1	0	0	0	
    Males	63	0	0	1	0	0	0	0	0	0	1	40	3	2	5	0	0	0	0	4	0	6	1	0	0	0	
    Females	18	0	1	2	0	0	0	0	0	0	1	8	3	0	0	0	0	0	0	0	0	3	0	0	0	0	
Galicia	
    Both sexes	337	1	12	3	0	13	0	0	3	0	3	199	18	3	9	0	0	0	0	9	0	56	3	0	0	5	
    Males	228	1	6	1	0	6	0	0	3	0	2	149	8	3	9	0	0	0	0	8	0	28	2	0	0	2	
    Females	109	0	6	2	0	7	0	0	0	0	1	50	10	0	0	0	0	0	0	1	0	28	1	0	0	3	
Madrid (Comunidad de)	
    Both sexes	348	4	6	0	0	42	0	0	2	0	3	125	1	3	5	11	0	0	0	9	0	120	7	3	1	6	
    Males	253	4	3	0	0	17	0	0	2	0	2	101	1	3	5	11	0	0	0	9	0	80	6	2	1	6	
    Females	95	0	3	0	0	25	0	0	0	0	1	24	0	0	0	0	0	0	0	0	0	40	1	1	0	0	
Murcía (Región de)	
    Both sexes	123	0	15	1	0	2	0	0	1	2	2	64	2	4	3	1	0	0	1	2	0	23	0	0	0	0	
    Males	94	0	7	0	0	2	0	0	1	2	1	51	2	4	3	1	0	0	1	2	0	17	0	0	0	0	
    Females	29	0	8	1	0	0	0	0	0	0	1	13	0	0	0	0	0	0	0	0	0	6	0	0	0	0	
Navarra (Comunidad Foral de)	
    Both sexes	60	0	6	0	0	1	0	0	0	1	2	20	0	2	1	1	0	3	0	4	0	19	0	0	0	0	
    Males	38	0	2	0	0	0	0	0	0	1	0	15	0	2	1	1	0	2	0	3	0	11	0	0	0	0	
    Females	22	0	4	0	0	1	0	0	0	0	2	5	0	0	0	0	0	1	0	1	0	8	0	0	0	0	
País Vasco	
    Both sexes	147	0	10	1	0	1	0	0	2	0	0	42	5	2	3	3	0	0	0	3	0	72	3	0	0	0	
    Males	106	0	4	0	0	1	0	0	2	0	0	39	5	2	3	3	0	0	0	2	0	42	3	0	0	0	
    Females	41	0	6	1	0	0	0	0	0	0	0	3	0	0	0	0	0	0	0	1	0	30	0	0	0	0	
Rioja (La)	
    Both sexes	24	0	1	1	0	0	0	0	2	0	1	12	2	0	0	0	0	0	0	1	0	4	0	0	0	0	
    Males	18	0	1	0	0	0	0	0	2	0	1	8	2	0	0	0	0	0	0	1	0	3	0	0	0	0	
    Females	6	0	0	1	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	1	0	0	0	0	
Ceuta	
    Both sexes	4	0	0	0	0	0	0	0	0	0	0	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	
    Males	2	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	
    Females	2	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	
Melilla	
    Both sexes	4	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	0	0	0	0	1	0	0	0	0	
    Males	3	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	1	0	0	0	0	
    Females	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	
Abroad	
    Both sexes	31	0	1	0	0	1	0	0	0	0	0	15	0	0	0	0	0	1	0	0	0	10	1	0	1	1	
    Males	24	0	0	0	0	0	0	0	0	0	0	13	0	0	0	0	0	1	0	0	0	8	1	0	1	0	
    Females	7	0	1	0	0	1	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	2	0	0	0	1	
Notas:
Fuente: National Statistics Institute