Main reason for not going to the specialist when needed, in the last 12 months, according to sex and size of the municipality of residence. Population that needed to see a specialist in the last 12 months and did not do so

• Select values to consult
  • Sex

    Values that contain

    Both sexes Male Female

    Selected:3

    Total:3
  • Size of the municipality

    Values that contain

    Total Less than or equal to 10,000 inhabitants 10,001 to 50,000 inhabitants 50,001 to 100,000 inhabitants 100,001 to 400,000 inhabitants Greater than or equal to 400,001 inhabitants

    Selected:6

    Total:6
  • Reason for the inaccessibility

    Values that contain

    Total Could not afford it (expensive, not covered by insurance) Wait listed, without a referral Did not have time (due to work, caring for children or other persons) Too far away, without means of transport Fear of doctors, hospitals, treatment, etc. Decided to wait and see if there was improvement Did not know any good specialist Other reasons

    Selected:9

    Total:9
• Choose format of the table

  • • 	Reason for the inaccessibility
      Sex Size of the municipality	.	.	.
      	.	.	.
      	.	.	.

    • 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