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	3.679	2	61	12	0	255	1	1	50	13	56	1.684	106	30	49	113	5	13	2	71	0	890	64	42	3	156	
    Males	2.718	0	28	9	0	136	1	1	45	13	32	1.412	62	29	46	109	4	9	1	63	0	526	50	35	3	104	
    Females	961	2	33	3	0	119	0	0	5	0	24	272	44	1	3	4	1	4	1	8	0	364	14	7	0	52	
Andalucía	
    Both sexes	692	0	13	0	0	39	0	0	10	1	16	391	11	1	0	26	0	3	0	8	0	143	4	0	1	25	
    Males	506	0	5	0	0	20	0	0	8	1	9	330	4	1	0	25	0	2	0	5	0	78	3	0	1	14	
    Females	186	0	8	0	0	19	0	0	2	0	7	61	7	0	0	1	0	1	0	3	0	65	1	0	0	11	
Aragón	
    Both sexes	100	0	4	1	0	7	0	0	3	0	3	42	1	1	3	1	0	0	0	0	0	33	1	0	0	0	
    Males	73	0	3	1	0	6	0	0	3	0	2	32	0	1	2	1	0	0	0	0	0	21	1	0	0	0	
    Females	27	0	1	0	0	1	0	0	0	0	1	10	1	0	1	0	0	0	0	0	0	12	0	0	0	0	
Asturias (Principado de)	
    Both sexes	134	0	3	2	0	14	0	0	1	0	0	43	6	1	4	3	0	0	0	5	0	50	2	0	0	0	
    Males	91	0	0	2	0	6	0	0	1	0	0	35	4	1	4	3	0	0	0	5	0	28	2	0	0	0	
    Females	43	0	3	0	0	8	0	0	0	0	0	8	2	0	0	0	0	0	0	0	0	22	0	0	0	0	
Balears (Illes)	
    Both sexes	103	0	1	1	0	11	0	0	4	1	3	50	3	0	0	2	0	1	0	2	0	19	0	2	0	3	
    Males	71	0	0	1	0	5	0	0	3	1	2	40	1	0	0	2	0	1	0	2	0	10	0	1	0	2	
    Females	32	0	1	0	0	6	0	0	1	0	1	10	2	0	0	0	0	0	0	0	0	9	0	1	0	1	
Canarias	
    Both sexes	200	0	1	2	0	5	0	0	3	4	0	104	6	3	1	4	0	0	0	0	0	50	0	1	0	16	
    Males	147	0	0	1	0	2	0	0	3	4	0	84	5	3	1	4	0	0	0	0	0	29	0	1	0	10	
    Females	53	0	1	1	0	3	0	0	0	0	0	20	1	0	0	0	0	0	0	0	0	21	0	0	0	6	
Cantabria	
    Both sexes	27	0	0	0	0	1	0	0	0	0	0	10	0	0	1	0	0	0	0	0	0	12	0	1	0	2	
    Males	18	0	0	0	0	1	0	0	0	0	0	7	0	0	1	0	0	0	0	0	0	7	0	1	0	1	
    Females	9	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0	0	0	0	5	0	0	0	1	
Castilla y León	
    Both sexes	218	0	7	1	0	8	0	1	2	0	0	102	23	1	1	11	0	0	0	5	0	46	1	7	0	2	
    Males	155	0	2	1	0	4	0	1	2	0	0	90	10	1	1	8	0	0	0	4	0	22	1	6	0	2	
    Females	63	0	5	0	0	4	0	0	0	0	0	12	13	0	0	3	0	0	0	1	0	24	0	1	0	0	
Castilla-La Mancha	
    Both sexes	157	0	5	0	0	9	0	0	0	1	2	90	5	7	8	2	1	0	0	4	0	14	4	0	0	5	
    Males	126	0	3	0	0	3	0	0	0	1	1	83	3	7	7	2	0	0	0	3	0	7	2	0	0	4	
    Females	31	0	2	0	0	6	0	0	0	0	1	7	2	0	1	0	1	0	0	1	0	7	2	0	0	1	
Cataluña	
    Both sexes	504	1	5	1	0	46	0	0	5	0	10	180	8	3	11	15	0	4	0	10	0	118	5	25	0	57	
    Males	374	0	1	1	0	25	0	0	4	0	8	147	7	3	11	15	0	3	0	10	0	68	4	22	0	45	
    Females	130	1	4	0	0	21	0	0	1	0	2	33	1	0	0	0	0	1	0	0	0	50	1	3	0	12	
Comunitat Valenciana	
    Both sexes	397	0	0	1	0	25	0	0	7	1	9	161	5	2	7	11	0	1	0	15	0	115	6	0	0	31	
    Males	280	0	0	0	0	11	0	0	6	1	2	129	3	2	6	11	0	1	0	15	0	71	5	0	0	17	
    Females	117	0	0	1	0	14	0	0	1	0	7	32	2	0	1	0	0	0	0	0	0	44	1	0	0	14	
Extremadura	
    Both sexes	77	0	1	0	0	3	0	0	1	1	2	54	2	0	4	0	0	0	0	3	0	5	1	0	0	0	
    Males	61	0	0	0	0	3	0	0	1	1	2	45	1	0	4	0	0	0	0	2	0	2	0	0	0	0	
    Females	16	0	1	0	0	0	0	0	0	0	0	9	1	0	0	0	0	0	0	1	0	3	1	0	0	0	
Galicia	
    Both sexes	323	0	2	1	0	9	0	0	5	2	8	187	22	1	2	13	1	2	0	5	0	52	0	3	1	7	
    Males	242	0	1	1	0	7	0	0	5	2	4	155	12	1	2	13	1	0	0	5	0	27	0	1	1	4	
    Females	81	0	1	0	0	2	0	0	0	0	4	32	10	0	0	0	0	2	0	0	0	25	0	2	0	3	
Madrid (Comunidad de)	
    Both sexes	341	0	5	1	0	59	0	0	1	0	1	104	0	2	0	12	1	0	2	8	0	113	24	2	1	5	
    Males	251	0	3	0	0	32	0	0	1	0	1	91	0	2	0	12	1	0	1	6	0	77	18	2	1	3	
    Females	90	0	2	1	0	27	0	0	0	0	0	13	0	0	0	0	0	0	1	2	0	36	6	0	0	2	
Murcía (Región de)	
    Both sexes	98	0	3	0	0	5	0	0	1	1	1	62	4	2	2	7	0	0	0	0	0	8	1	1	0	0	
    Males	82	0	3	0	0	3	0	0	1	1	1	52	4	1	2	7	0	0	0	0	0	5	1	1	0	0	
    Females	16	0	0	0	0	2	0	0	0	0	0	10	0	1	0	0	0	0	0	0	0	3	0	0	0	0	
Navarra (Comunidad Foral de)	
    Both sexes	48	0	3	0	0	2	0	0	1	1	0	20	1	3	1	1	2	0	0	0	0	13	0	0	0	0	
    Males	39	0	3	0	0	1	0	0	1	1	0	18	1	3	1	1	2	0	0	0	0	7	0	0	0	0	
    Females	9	0	0	0	0	1	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	6	0	0	0	0	
País Vasco	
    Both sexes	182	0	6	1	0	10	0	0	5	0	0	48	7	2	4	3	0	1	0	2	0	78	15	0	0	0	
    Males	136	0	3	1	0	6	0	0	5	0	0	40	5	2	4	3	0	1	0	2	0	51	13	0	0	0	
    Females	46	0	3	0	0	4	0	0	0	0	0	8	2	0	0	0	0	0	0	0	0	27	2	0	0	0	
Rioja (La)	
    Both sexes	25	0	1	0	0	0	1	0	0	0	1	13	1	0	0	0	0	0	0	0	0	8	0	0	0	0	
    Males	20	0	1	0	0	0	1	0	0	0	0	11	1	0	0	0	0	0	0	0	0	6	0	0	0	0	
    Females	5	0	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	0	0	0	2	0	0	0	0	
Ceuta	
    Both sexes	3	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	2	0	0	0	0	
    Males	2	0	0	0	0	0	0	0	0	0	0	0	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	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	
Melilla	
    Both sexes	2	0	0	0	0	0	0	0	0	0	0	1	0	0	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	0	0	0	0	0	0	0	0	1	0	0	0	0	
    Females	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	
Abroad	
    Both sexes	48	1	1	0	0	2	0	0	1	0	0	22	1	0	0	2	0	1	0	4	0	10	0	0	0	3	
    Males	42	0	0	0	0	1	0	0	1	0	0	22	1	0	0	2	0	1	0	4	0	8	0	0	0	2	
    Females	6	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	1	
Notas:
Fuente: National Statistics Institute