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	3.602	2	63	17	1	199	5	1	37	14	89	1.664	119	41	72	94	1	9	0	80	0	842	48	41	4	159	
    Males	2.680	0	34	14	1	91	1	1	30	11	48	1.421	62	39	71	91	1	6	0	60	0	526	33	32	2	105	
    Females	922	2	29	3	0	108	4	0	7	3	41	243	57	2	1	3	0	3	0	20	0	316	15	9	2	54	
Andalucía	
    Both sexes	682	0	4	0	0	24	0	0	7	3	22	409	11	9	26	14	0	2	0	8	0	113	4	0	1	25	
    Males	525	0	4	0	0	10	0	0	7	3	7	347	5	8	26	14	0	0	0	7	0	65	4	0	1	17	
    Females	157	0	0	0	0	14	0	0	0	0	15	62	6	1	0	0	0	2	0	1	0	48	0	0	0	8	
Aragón	
    Both sexes	131	0	2	0	0	12	0	0	1	0	7	50	8	0	1	2	0	0	0	5	0	37	3	1	1	1	
    Males	98	0	1	0	0	4	0	0	1	0	5	44	6	0	1	2	0	0	0	5	0	24	3	1	0	1	
    Females	33	0	1	0	0	8	0	0	0	0	2	6	2	0	0	0	0	0	0	0	0	13	0	0	1	0	
Asturias (Principado de)	
    Both sexes	135	0	6	1	0	12	0	0	0	0	0	51	7	7	3	0	0	0	0	6	0	39	3	0	0	0	
    Males	91	0	3	1	0	4	0	0	0	0	0	42	1	7	3	0	0	0	0	6	0	23	1	0	0	0	
    Females	44	0	3	0	0	8	0	0	0	0	0	9	6	0	0	0	0	0	0	0	0	16	2	0	0	0	
Balears (Illes)	
    Both sexes	93	0	8	1	0	2	0	0	1	0	3	45	6	0	1	3	0	1	0	4	0	15	0	0	0	3	
    Males	62	0	2	1	0	0	0	0	1	0	1	37	2	0	1	3	0	1	0	4	0	7	0	0	0	2	
    Females	31	0	6	0	0	2	0	0	0	0	2	8	4	0	0	0	0	0	0	0	0	8	0	0	0	1	
Canarias	
    Both sexes	190	0	5	3	0	7	0	0	2	3	4	84	5	3	2	5	0	1	0	3	0	46	0	0	0	17	
    Males	142	0	2	3	0	2	0	0	2	3	4	67	4	3	2	5	0	0	0	2	0	33	0	0	0	10	
    Females	48	0	3	0	0	5	0	0	0	0	0	17	1	0	0	0	0	1	0	1	0	13	0	0	0	7	
Cantabria	
    Both sexes	38	0	0	0	0	0	0	0	0	1	0	18	2	1	2	0	0	1	0	0	0	11	0	1	0	1	
    Males	28	0	0	0	0	0	0	0	0	0	0	17	0	1	2	0	0	1	0	0	0	7	0	0	0	0	
    Females	10	0	0	0	0	0	0	0	0	1	0	1	2	0	0	0	0	0	0	0	0	4	0	1	0	1	
Castilla y León	
    Both sexes	224	0	5	0	0	7	0	1	2	1	2	105	16	0	0	10	0	0	0	4	0	60	2	3	0	6	
    Males	169	0	2	0	0	3	0	1	1	1	0	91	10	0	0	10	0	0	0	2	0	41	1	3	0	3	
    Females	55	0	3	0	0	4	0	0	1	0	2	14	6	0	0	0	0	0	0	2	0	19	1	0	0	3	
Castilla-La Mancha	
    Both sexes	167	0	0	1	0	4	0	0	3	0	7	106	4	2	8	2	0	0	0	2	0	20	4	0	0	4	
    Males	140	0	0	1	0	1	0	0	1	0	6	91	3	2	8	2	0	0	0	2	0	17	2	0	0	4	
    Females	27	0	0	0	0	3	0	0	2	0	1	15	1	0	0	0	0	0	0	0	0	3	2	0	0	0	
Cataluña	
    Both sexes	495	1	1	3	1	33	0	0	1	2	17	174	17	10	8	11	1	1	0	14	0	119	10	20	1	50	
    Males	362	0	1	3	1	17	0	0	1	1	9	157	10	10	7	10	1	1	0	8	0	72	6	15	1	31	
    Females	133	1	0	0	0	16	0	0	0	1	8	17	7	0	1	1	0	0	0	6	0	47	4	5	0	19	
Comunitat Valenciana	
    Both sexes	348	0	5	0	0	25	2	0	7	1	11	156	4	3	5	10	0	0	0	6	0	84	4	0	0	25	
    Males	274	0	1	0	0	14	1	0	5	1	6	139	3	3	5	10	0	0	0	4	0	60	3	0	0	19	
    Females	74	0	4	0	0	11	1	0	2	0	5	17	1	0	0	0	0	0	0	2	0	24	1	0	0	6	
Extremadura	
    Both sexes	58	0	1	0	0	0	0	0	0	0	5	36	2	0	3	1	0	0	0	2	0	8	0	0	0	0	
    Males	48	0	1	0	0	0	0	0	0	0	4	32	2	0	3	1	0	0	0	2	0	3	0	0	0	0	
    Females	10	0	0	0	0	0	0	0	0	0	1	4	0	0	0	0	0	0	0	0	0	5	0	0	0	0	
Galicia	
    Both sexes	318	0	6	0	0	16	1	0	5	2	2	175	21	2	0	13	0	2	0	7	0	46	5	2	0	13	
    Males	229	0	6	0	0	8	0	0	4	1	2	141	9	2	0	12	0	2	0	3	0	26	1	2	0	10	
    Females	89	0	0	0	0	8	1	0	1	1	0	34	12	0	0	1	0	0	0	4	0	20	4	0	0	3	
Madrid (Comunidad de)	
    Both sexes	327	0	2	0	0	32	2	0	5	0	4	112	2	3	2	13	0	0	0	11	0	114	6	11	0	8	
    Males	225	0	1	0	0	16	0	0	5	0	2	92	1	2	2	12	0	0	0	7	0	67	6	8	0	4	
    Females	102	0	1	0	0	16	2	0	0	0	2	20	1	1	0	1	0	0	0	4	0	47	0	3	0	4	
Murcía (Región de)	
    Both sexes	106	0	0	0	0	9	0	0	1	1	2	50	1	0	1	5	0	1	0	3	0	28	0	1	1	2	
    Males	78	0	0	0	0	4	0	0	0	1	1	44	1	0	1	5	0	1	0	3	0	14	0	1	0	2	
    Females	28	0	0	0	0	5	0	0	1	0	1	6	0	0	0	0	0	0	0	0	0	14	0	0	1	0	
Navarra (Comunidad Foral de)	
    Both sexes	53	0	8	4	0	3	0	0	2	0	0	14	1	0	1	0	0	0	0	1	0	18	1	0	0	0	
    Males	27	0	2	1	0	1	0	0	2	0	0	10	1	0	1	0	0	0	0	1	0	7	1	0	0	0	
    Females	26	0	6	3	0	2	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	11	0	0	0	0	
País Vasco	
    Both sexes	168	1	8	2	0	11	0	0	0	0	2	49	5	0	9	5	0	0	0	4	0	64	6	1	0	1	
    Males	128	0	7	2	0	6	0	0	0	0	1	40	2	0	9	5	0	0	0	4	0	45	5	1	0	1	
    Females	40	1	1	0	0	5	0	0	0	0	1	9	3	0	0	0	0	0	0	0	0	19	1	0	0	0	
Rioja (La)	
    Both sexes	25	0	1	1	0	1	0	0	0	0	1	10	3	0	0	0	0	0	0	0	0	8	0	0	0	0	
    Males	20	0	0	1	0	0	0	0	0	0	0	10	2	0	0	0	0	0	0	0	0	7	0	0	0	0	
    Females	5	0	1	0	0	1	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	
Ceuta	
    Both sexes	3	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	0	0	0	0	0	0	0	0	0	
    Males	3	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	0	0	0	0	0	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	
Melilla	
    Both sexes	4	0	0	1	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	1	0	0	0	0	
    Males	4	0	0	1	0	0	0	0	0	0	0	2	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	37	0	1	0	0	1	0	0	0	0	0	16	4	0	0	0	0	0	0	0	0	11	0	1	0	3	
    Males	27	0	1	0	0	1	0	0	0	0	0	16	0	0	0	0	0	0	0	0	0	7	0	1	0	1	
    Females	10	0	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	4	0	0	0	2	
Notas:
Fuente: National Statistics Institute