Chronic or long-term problems or illnesses diagnosed by a doctor, according to sex, country of birth and age group. Population aged 16 years old and over

• Select values to consult
  • Sex

    Values that contain

    Both sexes Males Females

    Selected:3

    Total:3
  • Country of birth

    Values that contain

    Total Spain Abroad No data recorded

    Selected:1

    Total:4
  • Age

    Values that contain

    Total 16 to 24 years old 25 to 64 years old 65 years old and over

    Selected:1

    Total:4
  • Chronic illnesses

    Values that contain

    Asthma Chronic bronchitis, emphysema Myocardial infarction Angina pectoris, heart disease High blood pressure (hypertension) Brain haemorrhage, cerebral thrombosis Osteoporosis Chronic back pain (neck) Chronic back pain (lower back) Diabetes Allergy Gastric or duodenal ulcer Cirrhosis of the liver, liver failure Cancer Migraines or frequent headaches Urinary incontinence Chronic anxiety Chronic depression Other mental problems Permanent injuries or defects

    Selected:1

    Total:20
  • Yes or no

    Values that contain

    Total Yes No No data recorded

    Selected:1

    Total:4
• Choose format of the table

  • • 	Chronic illnesses Yes or no
      Sex Country of birth Age	.	.	.
      	.	.	.
      	.	.	.

    • Decimals to show: By default 0 1
• Notes
  • The symbol '.' shall be deemed as data which is not collected
    The symbol '..' shall be deemed as data which cannot be given due to an insufficient sample
    The symbol '...' shall be deemed as an error of division by zero
    The data corresponding to cells with fewer than 35 thousand persons must be considered with caution, as they may be affected by a high degree of sampling error.
  • The symbol '.' shall be deemed as data which is not collected
    The symbol '..' shall be deemed as data which cannot be given due to an insufficient sample
    The symbol '...' shall be deemed as an error of division by zero
    The data corresponding to cells with fewer than 35 thousand persons must be considered with caution, as they may be affected by a high degree of sampling error.

• Source:National Statistics Institute