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Multi Indicator Cluster Survey (MICS) 2005

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Launch of MICS 2005 Report - PowerPoint PPT Presentation

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Multi Indicator Cluster Survey (MICS) 2005. November 30, 2007. What Is MICS ? Multiple Indicator Cluster Survey. Household survey developed by UNICEF in 1990’s. It assists countries in filling data gaps for monitoring human development, especially the situation of women and children. .

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what is mics multiple indicator cluster survey
What Is MICS ?Multiple Indicator Cluster Survey
  • Household survey developed by UNICEF in 1990’s.
  • It assists countries in filling data gaps for monitoring human development, especially the situation of women and children.
what is mics cont d
What is MICS Cont’d
  • Many countries were involved in each round,

using common questionnaire modules.

  • Facilitates the production of comparable estimates of indicators.
  • It uses international definitions of indicators.
what is mics cont d4
What is MICS Cont’d

Jamaica is among :

  • the 191 signatories to the Millennium Development Goals (MDG).
  • the 189 member states who adopted the Plan of Action of A World Fit For Children.
what is mics cont d5
What is MICS Cont’d
  • Round 1 - 1995 No Jamaica
  • Round 2 - 2000 Jamaica but no official report
  • Round 3 - 2005 Jamaica and here we are!
  • To provide up-to-date information for assessing the situation of children and women in Jamaica;
  • To furnish data for monitoring progress toward goals established by the MDG, A World Fit For Children (WFFC), and other internationally agreed upon goals;
  • To contribute to the improvement of data and monitoring systems in Jamaica
survey management
Survey Management
  • A Steering Committee was formed with representatives from:




survey management cont d
Survey Management cont’d
  • Survey coordination and implementation was done by STATIN through the Special Projects and Field Services Divisions.
  • The survey instrument consisted of three questionnaires:
  • Household
  • Woman (15-49 yrs)
  • Child (0-4 yrs) .
household questionnaire
Household Questionnaire
  • Modules included:
    • Household Information Panel
    • Household Listing
    • Education
    • Child Labour
    • Orphaned and Vulnerable Children
    • Water and Sanitation
    • Child Discipline
    • Child Disability
    • Salt Iodization
women s questionnaire
Women’s Questionnaire
  • Modules Included:
    • Basic Characteristics
    • Child Mortality
    • Tetanus Toxoid immunisation
    • Maternal and Newborn Health
    • Marriage/Common-law unions
    • Attitudes Toward Domestic Violence
    • HIV/AIDS
child questionnaire
Child Questionnaire
  • Modules included:
    • Information Panel
    • Birth Registration and Early Learning
    • Child Development
    • Breastfeeding
    • Occurrence and treatment of Illness
    • Immunization
training of field staff
Training of Field Staff
  • Training included:
  • interviewing techniques
  • the questionnaires
  • mock interviews between trainees
  • interviewing practice. These practice interviews were conducted in areas close to the training centres.
  • Trainees were tested, and based on the test results, observation and participation in the training sessions,
  • 83 persons were offered employment on the project.
field work
Field Work
  • Field work began October 10, 2005
  • 13 Supervisors
  • 70 Interviewers and Field Editors
problems during field work
Problems during field work
  • Adverse weather
  • Violence in some sections of Kingston, St. Andrew and St. Catherine. Interviewers were forced to leave some EDs.
  • Vacant dwellings
  • Upper income communities that have gated communities and to which access was not granted by security personnel.
data processing
Data Processing
  • Data was manually edited and keyed into the computer using the CSPro software
        • 7 Data Entry Operators
        • 2 Data Entry Supervisors
  • Computer edits were done
  • Process lasted from November 2005 – March 2006
data analysis
Data analysis
  • Done in SPSS ver. 14.0 by STATIN
  • Using syntaxes prepared by UNICEF
  • Rigorous process
child mortality
Child mortality
  • The infant mortality rate is the probability of dying before the first birthday.
  • The under-five mortality rate is the probability of dying before the fifth birthday.
  • Based on an indirect estimation technique known as the Brass method
child mortality22
Child mortality
  • Infant mortality – 26 per 1000
  • Under 5 mortality – 31 per 1000
  • Mortality higher among children of women with low levels of education
birth weight
Birth Weight
  • Majority of birth occur in hospitals
  • 97% of babies were weighed at birth
  • Approx 12% weighed less than 2500 gms
  • Overall, more than 70 % of children had immunization cards.
  • If the child did not have a card, the mother was asked to recall whether or not the child had received BCG, Polio, DPT or measles vaccination .
child health

During the two weeks preceding the survey

  • 2.4% had diarrhoea
  • 6.5% had symptoms of pneumonia
    • 75% were taken to an appropriate provider
    • Amoxil was the antibiotic of choice
  • 23% of women knew of the two danger signs of pneumonia
water and sanitation
Water and Sanitation


  • Use of improved drinking water sources
  • Use of adequate water treatment method
  • Time to source of drinking water
  • Person collecting drinking water


  • Use of improved sanitation facilities
  • Sanitary disposal of child’s faeces
water and sanitation32
Water and Sanitation
  • Use of improved drinking water sources - 93.5%
      • 97 % in urban areas
      • 88 % in rural areas
  • 53% used water treatment method


water and sanitation cont d34
Water and Sanitation cont’d
  • 97% live in households using improved sanitation facilities
  • Flush toilets most common in urban areas
  • Pit latrines most common in rural areas
water and sanitation cont d35
Water and Sanitation cont’d
  • 36% of children diapers were properly disposed.
  • 56% thrown directly into garbage.
reproductive health
Reproductive Health
  • 91% of women received antenatal care from skilled personnel at least once during pregnancy
    • The doctor was the main provider (57.8%)
    • Then Nurse / midwife (32.7%)
  • Over 95% of women had blood and urine samples taken during pregnancy
reproductive health cont d
Reproductive Health cont’d
  • 97% of births were delivered by skill personnel
          • 56% assisted by nurse / midwife
          • 41% assisted by doctors
child development
Child Development
  • 86% of children under 5 had an adult household member who engaged in activities that promote learning and school readiness
  • Fathers involvement was only 41%
  • 51% of children were living without their fathers
child development cont d
Child Development cont’d
  • 3% of children age 0 – 59 months were left in care of other children under 10 yrs
  • 1% of children were left alone
  • Pre-school Attendance

86% of children attended pre-school

  • 89% urban
  • 81% from rural areas

94% of children 48 - 59 months attended pre-school.

education cont d
Education cont’d
  • 97.4% attended primary school
  • Attendance increased with age from 89.7% among children 6 years to 99.3% among 11 year old
  • Transition to secondary school almost universal
education cont d42
Education cont’d
  • At the secondary level
  • Attendance was lower among boys (89 %) than among girls (93 %).
  • Higher levels of attendance among children whose mothers have a higher level of education.
education distance from school
Education - Distance from school

Primary 97% lived less than 5 miles

68% lived within a mile

Secondary 86% lived less than 5 miles

42% lived within a mile

  • 11 % of rural lived within one mile
  • 4 % in KMA lived within one mile
child protection
Child Protection
  • Birth Registration

89% of children under 5 were registered

Of those not registered

57% owed hospital fees

32% said too costly to register

child labour definition
Child Labour - Definition
  • Ages 5-11: at least one hour of economic work or 28 hours of domestic work per week.
  • Ages 12-14: at least 14 hours of economic work or 28 hours of domestic work per week.
child labour
Child Labour
  • Children 5 -11 yrs - 7.9%
  • Children 12-14 yrs - 2.3%
  • More males -7 % than females - 5 %
child discipline
Child Discipline
  • Psychological aggression -If child was shouted, yelled or screamed at and/or called dumb, lazy or other such name
  • Minor physical punishment – If child was shaken, spanked, hit or slapped on bottom with bare hand and/or hit anywhere on the body with a hard instrument and/or hit/slapped on arm, leg or hand
  • Severe physical punishment - If child is hit/slapped on the face, head or ears and/or beat with an instrument over and over as hard as one could.
child discipline48
Child Discipline
  • 87% of children 2 – 14 were subjected to at least one form of psychological or physical punishment
  • 8% were subjected to severe physical punishment
  • Women with higher educational levels used non-violent discipline and less to psychological and minor physical punishment than women with lower levels education.
domestic violence
Domestic Violence
  • 6.1% of women felt that a husband or male partner was justified in beating his wife for at least one reason
  • The most popular reason was if the woman neglected her children
child disability 2 9 years
Child Disability - 2-9 years
  • Most Common Disabilities Reported.
  • Not understanding instructions - 4.9%
  • Dull or slow - 4.7%
  • Not Speaking - 3.9%
hiv aids and orphaned and vulnerable children
HIV/AIDS, and orphaned and vulnerable children
  • 69% of women knew three main ways of preventing HIV
  • 83% knew about one faithful partner
  • 89% knew about using a condom
  • 87% knew about abstaining
hiv cont d54
HIV cont’d
  • During Antenatal Care

83% received information about HIV prevention

90% have tested for HIV

84% have received result

  • Health status of women and children good
  • Need to improve vital registration especially for infant and young child deaths
  • Young children need to be protected from child labour whether inside or outside the home
  • Need to decrease the levels of social inequality as measured by the educational levels of women as these influence attitudes and behaviours e.g. child discipline, domestic violence