Satisfaction with different health services, according to sex, age group and educational level. Population aged 16 years old and over

• Select values to consult
  • Sex

    Values that contain

    Both sexes Male Female

    Selected:3

    Total:3
  • Age

    Values that contain

    Total 16 to 44 years old 45 to 64 years old 65 years old and over

    Selected:1

    Total:4
  • Educational level

    Values that contain

    Total Cannot read or write, or incomplete primary education Complete primary education Secondary education, 1st stage Secondary education, 2nd stage Advanced professional training or the equivalent University education No data recorded

    Selected:1

    Total:8
  • Health services

    Values that contain

    Hospitals (including Accident and Emergency services) Dentists Specialists (doctors or surgeons) General or family doctors

    Selected:1

    Total:4
  • Degree of satisfaction

    Values that contain

    Total Very satisfied Quite satisfied Neither satisfied nor dissatisfied Quite dissatisfied Very dissatisfied No data recorded

    Selected:1

    Total:7
• Choose format of the table

  • • 	Health services Degree of satisfaction
      Sex Age Educational level	.	.	.
      	.	.	.
      	.	.	.

    • 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