Deaths according to Cause of Death 
Results by Autonomous City and Community
Suicides by autonomous community and city of death, 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	857	0	21	4	0	40	2	0	12	6	28	504	10	7	25	6	0	7	0	19	0	153	7	2	4	0	
    Males	669	0	16	2	0	16	0	0	10	6	17	432	6	7	24	6	0	5	0	16	0	95	6	2	3	0	
    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	116	1	9	2	0	9	0	0	1	0	4	48	3	3	2	0	0	1	0	3	0	29	0	1	0	0	
    Males	87	0	4	1	0	7	0	0	1	0	2	43	3	3	2	0	0	1	0	2	0	17	0	1	0	0	
    Females	29	1	5	1	0	2	0	0	0	0	2	5	0	0	0	0	0	0	0	1	0	12	0	0	0	0	
Asturias (Principado de)	
    Both sexes	131	1	12	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	41	1	7	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	90	1	5	1	0	7	0	0	3	0	2	49	3	3	0	0	0	1	0	2	0	12	0	0	0	1	
    Males	67	0	1	1	0	3	0	0	3	0	2	41	2	3	0	0	0	1	0	2	0	8	0	0	0	0	
    Females	23	1	4	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	234	0	13	2	0	8	0	0	1	1	4	115	10	0	2	2	0	5	0	3	0	66	0	0	1	1	
    Males	174	0	6	2	0	4	0	0	1	1	3	101	3	0	2	2	0	3	0	3	0	42	0	0	1	0	
    Females	60	0	7	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	50	0	3	1	0	0	0	0	0	0	0	27	5	0	1	0	0	0	0	2	0	9	0	0	1	1	
    Males	41	0	3	0	0	0	0	0	0	0	0	23	4	0	1	0	0	0	0	1	0	7	0	0	1	1	
    Females	9	0	0	1	0	0	0	0	0	0	0	4	1	0	0	0	0	0	0	1	0	2	0	0	0	0	
Castilla y León	
    Both sexes	238	1	11	2	0	9	0	0	2	0	4	112	9	7	10	1	0	2	0	10	0	49	3	4	0	2	
    Males	172	1	5	1	0	5	0	0	1	0	3	85	8	6	10	1	0	1	0	9	0	32	2	2	0	0	
    Females	66	0	6	1	0	4	0	0	1	0	1	27	1	1	0	0	0	1	0	1	0	17	1	2	0	2	
Castilla-La Mancha	
    Both sexes	169	0	0	0	0	17	2	1	2	0	1	96	5	4	6	3	0	0	0	1	0	22	7	2	0	0	
    Males	139	0	0	0	0	11	1	1	1	0	0	82	3	4	6	3	0	0	0	1	0	17	7	2	0	0	
    Females	30	0	0	0	0	6	1	0	1	0	1	14	2	0	0	0	0	0	0	0	0	5	0	0	0	0	
Cataluña	
    Both sexes	575	4	43	7	0	25	0	1	6	2	14	222	11	10	8	2	0	4	1	12	0	166	36	0	1	0	
    Males	432	1	21	5	0	15	0	1	6	2	11	189	7	10	8	2	0	4	1	11	0	109	29	0	0	0	
    Females	143	3	22	2	0	10	0	0	0	0	3	33	4	0	0	0	0	0	0	1	0	57	7	0	1	0	
Comunitat Valenciana	
    Both sexes	411	0	15	9	1	9	1	0	8	1	16	162	5	8	6	2	0	4	0	12	0	139	12	0	1	0	
    Males	306	0	7	5	0	5	1	0	6	1	7	133	4	7	6	2	0	4	0	11	0	94	12	0	1	0	
    Females	105	0	8	4	1	4	0	0	2	0	9	29	1	1	0	0	0	0	0	1	0	45	0	0	0	0	
Extremadura	
    Both sexes	78	0	1	3	0	0	0	0	0	0	2	47	6	1	6	0	0	0	0	4	0	7	1	0	0	0	
    Males	61	0	0	1	0	0	0	0	0	0	1	39	3	1	6	0	0	0	0	4	0	5	1	0	0	0	
    Females	17	0	1	2	0	0	0	0	0	0	1	8	3	0	0	0	0	0	0	0	0	2	0	0	0	0	
Galicia	
    Both sexes	334	1	12	3	0	12	0	0	3	0	3	198	17	3	9	0	0	1	0	9	0	56	2	0	0	5	
    Males	226	1	6	1	0	5	0	0	3	0	2	149	7	3	9	0	0	1	0	8	0	28	1	0	0	2	
    Females	108	0	6	2	0	7	0	0	0	0	1	49	10	0	0	0	0	0	0	1	0	28	1	0	0	3	
Madrid (Comunidad de)	
    Both sexes	358	4	5	0	0	42	0	0	2	0	4	126	1	3	6	11	0	0	0	9	0	127	7	3	1	7	
    Males	261	4	3	0	0	17	0	0	2	0	3	101	1	3	5	11	0	0	0	9	0	86	6	2	1	7	
    Females	97	0	2	0	0	25	0	0	0	0	1	25	0	0	1	0	0	0	0	0	0	41	1	1	0	0	
Murcía (Región de)	
    Both sexes	119	0	15	1	0	2	0	0	1	2	2	62	3	4	3	0	0	0	1	1	0	22	0	0	0	0	
    Males	90	0	7	0	0	2	0	0	1	2	1	49	3	4	3	0	0	0	1	1	0	16	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	2	0	4	0	20	0	0	0	0	
    Males	39	0	2	0	0	0	0	0	0	1	0	15	0	2	1	1	0	2	0	3	0	12	0	0	0	0	
    Females	21	0	4	0	0	1	0	0	0	0	2	5	0	0	0	0	0	0	0	1	0	8	0	0	0	0	
País Vasco	
    Both sexes	151	0	10	1	0	2	0	0	2	0	0	43	6	2	3	3	0	1	0	3	0	71	3	0	0	1	
    Males	106	0	4	0	0	1	0	0	2	0	0	40	6	2	3	3	0	0	0	2	0	40	3	0	0	0	
    Females	45	0	6	1	0	1	0	0	0	0	0	3	0	0	0	0	0	1	0	1	0	31	0	0	0	1	
Rioja (La)	
    Both sexes	23	0	1	1	0	0	0	0	2	0	1	12	1	0	0	0	0	0	0	1	0	4	0	0	0	0	
    Males	17	0	1	0	0	0	0	0	2	0	1	8	1	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	5	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	0	0	0	0	2	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	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	
Notas:
Fuente: National Statistics Institute