Type of medicine consumed in the last 2 weeks, depending on whether or not it has been prescribed by sex and autonomous community. Population that has consumed each type of medicine in the last 2 weeks.

• Select values to consult
  • SEX

    Values that contain

    BOTH SEXES Men Women

    Selected:3

    Total:3
  • AUTONOMOUS COMMUNITY

    Values that contain

    Total Andalusia Aragon Asturias, Principality of Balearic Islands Canary Islands Cantabria Castilla and León Castilla-La Mancha Catalonia Valencian Community Extremadura Galicia Madrid, Community of Murcia, Region of Navarre, Autonomous Community of Basque Country Rioja, La Ceuta Melilla

    Selected:1

    Total:20
  • TYPE OF MEDICINE

    Values that contain

    Medicines for colds, flu, throat, bronchi Pain medicines Fever-reducing medicines Restoratives (vitamins, minerals, tonics) Laxatives Antibiotics Tranquilizers, relaxers, sleeping pills Allergy medications Rheumatism medicines Heart medicines Blood pressure medicines Medicines for the stomach and/or digestive disorders Antidepressants, stimulants Pills to avoid getting pregnant Hormones for menopause Cholesterol medications Diabetes medications Thyroid medications Other medications

    Selected:1

    Total:19
  • PRESCRIBED

    Values that contain

    Total Prescribed Not Prescribed

    Selected:1

    Total:3
• Choose format of the table

  • • 	TYPE OF MEDICINE PRESCRIBED
      SEX AUTONOMOUS COMMUNITY	.	.	.
      	.	.	.
      	.	.	.

    • Decimals to show: By default 0 1 2
• Notes
  • 1) Medications for rheumatism, heart, blood pressure, digestive disorders, antidepressants, stimulants, thyroid and cholesterol-lowering drugs are only collected for people aged 15 and over.
    2) Hormonal menopausal medications are only collected for women aged 15 and over and the pill not to get pregnant is only collected for women aged 15 to 65.
    3) The symbol '.' should be interpreted as data that is not provided due to insufficient sample size. The symbol '..' should be interpreted as data that is not collected for that classification of the table. Data corresponding to cells with fewer than 35 thousand people should be taken with caution, since they may be affected by high sampling errors.

• Source:Instituto Nacional de Estadística