ALL IN SCHOOL ALL IN SCHOOL MIDDLE EAST AND NORTH AFRICA OUT-OF-SCHOOL CHILDREN INITIATIVE FACT SHEET MIDDLE EAST AND NORTH AFRICA MOROCCO OUT-OF-SCHOOL CHILDREN INITIATIVE FACT SHEET

7. Out-of-school children (Dimensions 2 and 3) by region7

Out of school % 1 Tanger-Tetouan 1. Numbers and percentages of out-of-school children (2000-2013) Taza-Al Hocei- 30.6 – 36.4 ma-Taounate Gharb-Chrarda-Bni Hssen 24.9 – 30.5 100 50 Out-of-school children Rabat-Sale-Zemmour-Zaer 13.6 – 24.8 Grand- Fes-Boulemane Number Per cent 11.7 – 13.5 80 40 Chaouia-Ouardigha Pre- Pre- Doukkala-Abda primary primary Tadla-Azilal Number of 60 30 Marrakech-Tensift-Al Haouz Meknes-Tafilalet out-of-school children

Souss-Massa-Draa < 10,000 Primary Primary 40 20 Thousand 10,001 – 20,000 Percentage (%) 20,001 – 100,000 Lower Lower Laayoune-Boujdou-sakia 20 10 secondary secondary Al Hamra Guelmim-Es-Smara 100,001 – 200,000

> 200,000 0 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

Marrakech-Tensift-Al Haouz, Tanger- Western Tetouan and Taza-Al Hoceima-Taounate Pre-primary out-of-school Primary out-of-school Lower secondary out-of-school Sahara have relatively high out-of-school (Annexed by rates fluctuating rates down to around 1% rates down significantly Morocco) children numbers

Doukkala-Abda, Gharb-Chrarda-Beni Hssen, Marrakech-Tensift-Al Haouz and Taza-Al Hoceima-Taounate have relatively 2. The Five Dimensions of Exclusion2 high out-of-school children percentages

100 Out of school Dimension 1 Dimension 2 80 Dimension 3

8. Barriers and policies/strategies8 60 At risk of dropping out Dimension 4 Dimension 5 40 In school Percentage (%) 10% of the primary Pre-primary Infrastructure is being Monitoring cells school age population 20 improved at over Primary providing individualized benefits from the Policies/strategies 30% of schools, Lower secondary learning assistance “Taysir” conditional cash particularly in rural areas Upper secondary transfer programme 0 5 6 7 8 9 10 11 12 13 14 15 16 17 Age

Dimensions of Exclusion Dimension 1 Dimension 2 Dimension 3 Dimension 4 Dimension 5 In a 2006 survey, In the national math test, Among rural teachers, The pre-primary Children of Children of primary Children of lower Children who are Children who are Barriers 83% of students said over 50% of lower less than 15% are female, enrolment rate in rural pre-primary school school age who are secondary school in primary school in lower secondary they suffered corporal secondary students and only around 20% areas is only 30%, age who are not not in primary or age who are not but at risk of school but at risk punishment at school scored 0 to 25 out of 100 are categorized as senior but 72% in urban areas in pre-primary or secondary school in primary or dropping out of dropping out primary school secondary school

#/% of children excluded 0.22 million 0.08 million 0.26 million 0.07 million 0.06 million 26% 2% 16% 8% 12%

7 Calculated from DHS 2003-04. 8 Extracted from survey and policy reports published between 2007 and 2012.

1 UNESCO Institute for Statistics (UIS), World Bank, and National Authority for Evaluation (CSE). 2 Calculated from UIS and CSE 2012 data. Refugees and stateless persons are excluded from the statistics. UNICEF Middle East and North Africa Regional Office Email: [email protected] www.oosci-mena.org

MENA OOSCI Morocco factsheet prn.indd 1 1/14/2558 BE 10:32 ALL IN SCHOOL MIDDLE EAST AND NORTH AFRICA MOROCCO OUT-OF-SCHOOL CHILDREN INITIATIVE FACT SHEET

3. Classification of the out-of-school population (Dimensions 2 and 3) by school exposure3 5. Out-of-school children by background characteristics (Dimensions 2 and 3)5

100 Left school Primary 2% 2% 15% 1% Lower secondary Likely to enter 80 school in the future 69 Unlikely to ever 61 enter school 60

44 Primary Lower secondary 40 35

Percentage (%) 26 22 19 20 13 13 10 4 2 0 83% 97% Girls Boys Rural Urban Poorest Richest 20% 20%

More than 80% of primary school-aged The majority of lower secondary school-aged Out-of-school rates are higher for girls, out-of-school children will go to school in the future children have dropped out rural children and poor children

6. Cumulative out-of-school risk related to combined characteristics6 4. Schooling pathways of school aged children4 80 Reference Population: upper secondary age (15-17 years old) Risk of primary out of school Risk of lower secondary out of school 70 68 99 0.2

Entered primary school Did not enter primary school 60 55

89 3 8 50

Completed primary school Still attending Did not complete lower secondary due primary school to repetition or overage 40

80 9 Over 90% of children Percentage (%) 27 with disabilities 30 Entered lower secondary Did not enter remain outside lower secondary any form 20 18 of schooling 16 46 24 10 12 10 Completed Still attending Did not complete 5 lower secondary lower secondary due lower secondary 3 to repetition or overage 0 30 16 Repetition rate Boy Girl  Girl  Girl  climbs to 29% Urban Urban Rural  Rural  Entered upper Did not enter in the last grade of Non-poorest Non-poorest Non-poorest Poorest  upper secondary secondary lower secondary education 0 10 20 30 40 50 60 70 80 90 100 A child with all three risk characteristics is 4 times more likely to be out-of-school at Percentage (%) primary school age, and 3 times more likely to be out-of-school at lower secondary school age. Area of residence (rural vs. urban) plays a critical role in school attendance.

3 Calculated from CSE data 2012. 5 Demographic and Health Surveys (DHS) 2003-04. 4 UIS and CSE 2012. 6 Calculated from DHS 2003-04 using multivariate logit regressions. Information on parental education is unavailable.

MENA OOSCI Morocco factsheet prn.indd 2 1/14/2558 BE 10:32 ALL IN SCHOOL MIDDLE EAST AND NORTH AFRICA MOROCCO OUT-OF-SCHOOL CHILDREN INITIATIVE FACT SHEET

3. Classification of the out-of-school population (Dimensions 2 and 3) by school exposure3 5. Out-of-school children by background characteristics (Dimensions 2 and 3)5

100 Left school Primary 2% 2% 15% 1% Lower secondary Likely to enter 80 school in the future 69 Unlikely to ever 61 enter school 60

44 Primary Lower secondary 40 35

Percentage (%) 26 22 19 20 13 13 10 4 2 0 83% 97% Girls Boys Rural Urban Poorest Richest 20% 20%

More than 80% of primary school-aged The majority of lower secondary school-aged Out-of-school rates are higher for girls, out-of-school children will go to school in the future children have dropped out rural children and poor children

6. Cumulative out-of-school risk related to combined characteristics6 4. Schooling pathways of school aged children4 80 Reference Population: upper secondary age (15-17 years old) Risk of primary out of school Risk of lower secondary out of school 70 68 99 0.2

Entered primary school Did not enter primary school 60 55

89 3 8 50

Completed primary school Still attending Did not complete lower secondary due primary school to repetition or overage 40

80 9 Over 90% of children Percentage (%) 27 with disabilities 30 Entered lower secondary Did not enter remain outside lower secondary any form 20 18 of schooling 16 46 24 10 12 10 Completed Still attending Did not complete 5 lower secondary lower secondary due lower secondary 3 to repetition or overage 0 30 16 Repetition rate Boy Girl  Girl  Girl  climbs to 29% Urban Urban Rural  Rural  Entered upper Did not enter in the last grade of Non-poorest Non-poorest Non-poorest Poorest  upper secondary secondary lower secondary education 0 10 20 30 40 50 60 70 80 90 100 A child with all three risk characteristics is 4 times more likely to be out-of-school at Percentage (%) primary school age, and 3 times more likely to be out-of-school at lower secondary school age. Area of residence (rural vs. urban) plays a critical role in school attendance.

3 Calculated from CSE data 2012. 5 Demographic and Health Surveys (DHS) 2003-04. 4 UIS and CSE 2012. 6 Calculated from DHS 2003-04 using multivariate logit regressions. Information on parental education is unavailable.

MENA OOSCI Morocco factsheet prn.indd 2 1/14/2558 BE 10:32 ALL IN SCHOOL ALL IN SCHOOL MIDDLE EAST AND NORTH AFRICA MOROCCO OUT-OF-SCHOOL CHILDREN INITIATIVE FACT SHEET MIDDLE EAST AND NORTH AFRICA MOROCCO OUT-OF-SCHOOL CHILDREN INITIATIVE FACT SHEET

7. Out-of-school children (Dimensions 2 and 3) by region7

Out of school % 1 Tanger-Tetouan 1. Numbers and percentages of out-of-school children (2000-2013) Taza-Al Hocei- 30.6 – 36.4 ma-Taounate Gharb-Chrarda-Bni Hssen 24.9 – 30.5 100 50 Out-of-school children Rabat-Sale-Zemmour-Zaer Oriental 13.6 – 24.8 Grand-Casablanca Fes-Boulemane Number Per cent 11.7 – 13.5 80 40 Chaouia-Ouardigha Pre- Pre- Doukkala-Abda primary primary Tadla-Azilal Number of 60 30 Marrakech-Tensift-Al Haouz Meknes-Tafilalet out-of-school children

Souss-Massa-Draa < 10,000 Primary Primary 40 20 Thousand 10,001 – 20,000 Percentage (%) 20,001 – 100,000 Lower Lower Laayoune-Boujdou-sakia 20 10 secondary secondary Al Hamra Guelmim-Es-Smara 100,001 – 200,000

> 200,000 0 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

Marrakech-Tensift-Al Haouz, Tanger- Western Tetouan and Taza-Al Hoceima-Taounate Pre-primary out-of-school Primary out-of-school Lower secondary out-of-school Sahara have relatively high out-of-school (Annexed by rates fluctuating rates down to around 1% rates down significantly Morocco) children numbers

Doukkala-Abda, Gharb-Chrarda-Beni Hssen, Marrakech-Tensift-Al Haouz and Taza-Al Hoceima-Taounate have relatively 2. The Five Dimensions of Exclusion2 high out-of-school children percentages

100 Out of school Dimension 1 Dimension 2 80 Dimension 3

8. Barriers and policies/strategies8 60 At risk of dropping out Dimension 4 Dimension 5 40 In school Percentage (%) 10% of the primary Pre-primary Infrastructure is being Monitoring cells school age population 20 improved at over Primary providing individualized benefits from the Policies/strategies 30% of schools, Lower secondary learning assistance “Taysir” conditional cash particularly in rural areas Upper secondary transfer programme 0 5 6 7 8 9 10 11 12 13 14 15 16 17 Age

Dimensions of Exclusion Dimension 1 Dimension 2 Dimension 3 Dimension 4 Dimension 5 In a 2006 survey, In the national math test, Among rural teachers, The pre-primary Children of Children of primary Children of lower Children who are Children who are Barriers 83% of students said over 50% of lower less than 15% are female, enrolment rate in rural pre-primary school school age who are secondary school in primary school in lower secondary they suffered corporal secondary students and only around 20% areas is only 30%, age who are not not in primary or age who are not but at risk of school but at risk punishment at school scored 0 to 25 out of 100 are categorized as senior but 72% in urban areas in pre-primary or secondary school in primary or dropping out of dropping out primary school secondary school

#/% of children excluded 0.22 million 0.08 million 0.26 million 0.07 million 0.06 million 26% 2% 16% 8% 12%

7 Calculated from DHS 2003-04. 8 Extracted from survey and policy reports published between 2007 and 2012.

1 UNESCO Institute for Statistics (UIS), World Bank, and National Authority for Evaluation (CSE). 2 Calculated from UIS and CSE 2012 data. Refugees and stateless persons are excluded from the statistics. UNICEF Middle East and North Africa Regional Office Email: [email protected] www.oosci-mena.org

MENA OOSCI Morocco factsheet prn.indd 1 1/14/2558 BE 10:32