Chronic or long-term problems or illnesses diagnosed by a doctor, according to sex and current relationship with economic activity. Population aged 16 years old and over

• Select values to consult
  • Sex

    Values that contain

    Both sexes Male Female

    Selected:3

    Total:3
  • Economic activity

    Values that contain

    Total Working Unemployed Studying Retired person, Pensioner Incapacitated to work Mainly dedicated to household chores Other situations

    Selected:1

    Total:8
  • 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

    Selected:1

    Total:3
• Choose format of the table

  • • 	Chronic illnesses Yes or no
      Sex Economic activity	.	.	.
      	.	.	.
      	.	.	.

    • Decimals to show: By default 0 1 2
• 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