Tipo de medicamento consumido en las últimas 2 semanas, según haya sido recetado o no por sexo y comunidad autónoma. Población de 15 y más años que ha consumido cada tipo de medicamento en las últimas 2 semanas.

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  • Sex

    Values that contain

    Both sexes Men Women

    Selected:3

    Total:3
  • Autonomous Community

    Values that contain

    Total Andalucía Aragón Asturias (Principado de) Balears (Illes) Canarias Cantabria Castilla y León Castilla-La Mancha Cataluña Comunitat Valenciana Extremadura Galicia Madrid (Comunidad de) Murcia (Región de) Navarra (Comunidad Foral de) Pais Vasco Rioja (La) Ceuta (Ciudad Autónoma de) Melilla (Ciudad Autónoma de)

    Selected:1

    Total:20
  • Type of medicine

    Values that contain

    Medicines for coughing, flu, sore throat, bronchi Medicines for pain Medicines to lower fever Revitalizers (vitamines, minerals, tonics) Laxatives Antibiotics Tranquilizers, sedatives, sleeping pills Medicines for allergies Medicines for rheumatism Medicines for the heart Medicines for blood pressure Medicines for the stomach and/or digestive disorders Antidepressants, stimulants Contraceptive pills Hormones for menopause Medicines for cholesterol Medicines for diabetes Medicines for the thyroid gland Other medicines

    Selected:1

    Total:19
  • Prescribed

    Values that contain

    TOTAL Prescribed Unprescribed No data recorded

    Selected:1

    Total:4
• Choose format of the table

  • • 	Type of medicine Prescribed
      Sex Autonomous Community	.	.	.
      	.	.	.
      	.	.	.

    • Decimals to show: By default 0 1
• Notes
  • 1) Hormonal medicines for menopause are only recorded for women.
    Contraceptive pill is only recorded for women under 65 years old
    
    The symbol '.' shall be deemed as datum which cannot be given due to an insufficient sample
    The symbol '..' shall be deemed as datum which is not collected for this classification in the table
    The data corresponding to cells with less than 35 thousand persons must be considered with caution, since they may be affected by a high degree of sampling error

• Source:National Statistics Institute