Population and Housing censuses Use of census data

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Population and Housing censuses: Use of census data for gender statistics Presented by: SLIMANI

Population and Housing censuses: Use of census data for gender statistics Presented by: SLIMANI Salma HCP Statistics Directorate Regional workshop on integrating a gender perspective in the production of statistics Amman, Jordan 1 – 4 December 2014

Course Title |This is the slide title Contents Ø National strategy for gender equality

Course Title |This is the slide title Contents Ø National strategy for gender equality Ø International commitments Ø Population size by sex : A brief history of Morocco (1960 – 2014) Ø Population Pyramid by Sex and Age Group, 2014 Ø Population characteristics

National strategy for gender equality Ø The legal and institutional arsenal provided by the

National strategy for gender equality Ø The legal and institutional arsenal provided by the new Moroccan Constitution (2011) promoting gender equality; Ø Legislative and legal reforms (Family code, Penal code, Labor code, law of civil registration, political parties law, new communal charter, …); Ø Economic and social empowerment through NHDI initiative and many sectorial programs; Ø Political and administrative empowerment Ø Quotas : 17% parliament, 12% municipalities; Ø Incentive system for political parties to rise women’s representation. Ø Strategies and programs, ex: multisectorial TAMKIN program and IKRAM program.

International commitments Ø The Beijing Platform for Action; Ø The Convention on the Elimination

International commitments Ø The Beijing Platform for Action; Ø The Convention on the Elimination of all Forms of Discrimination against Women (CEDAW); Ø MDG (millennium development goal) and the transversality gender equality goal in the post-2015.

Population size by sex : A brief history of Morocco (1960 – 2014) 33,

Population size by sex : A brief history of Morocco (1960 – 2014) 33, 4 Population in Millions 18 29, 8 16 26 14 20, 4 12 10 8 6 15, 3 11, 6 16, 8 16, 6 15 14, 8 13, 1 12, 9 10, 2 Female 7, 7 Male 5, 8 4 2 0 1960 1971 1982 1994 2004* 2014 Sex Ratio (2014) : 98, 8 % Total population : 33 millions ( 49, 7 % males and 50, 3 % females) * Based on population projections updates made on the basis of 2004 census and 2009 -2010 demographic national survey.

Population Pyramid by Sex and Age Group, 2014 75+ 70 -74 65 -69 60

Population Pyramid by Sex and Age Group, 2014 75+ 70 -74 65 -69 60 -64 55 -59 50 -54 45 -49 40 -44 35 -39 30 -34 25 -29 20 -24 15 -19 10 -14 5 -9 0 -4 Female -2000; General -1500; General -1000; General -500; General Male 0; General 500; General 1000; General 1500; General 2000; General Data based on population projections updates made on the basis of 2004 census and 2009 -2010 demographic national survey.

Population characteristics Ø Ø Ø Ø Household Head Polygamy Education and illiteracy Economic activity

Population characteristics Ø Ø Ø Ø Household Head Polygamy Education and illiteracy Economic activity Single Mean Age at Marriage Fertility Life Expectancy at Birth by Sex

Education and illiteracy Highest grade completed in Education school during 2013 -2014 For every

Education and illiteracy Highest grade completed in Education school during 2013 -2014 For every member of the household Highest educational diploma Illiteracy and languages Public education Were you in school during 2013 -2014? Every person (10 years old and over) Type of [0] No diploma Specify and code up Specify and code education [1] Yes, at general Do you to three spoken and educlast year in school know how to written languages ation for the whole read and Note highest earned [1] Examples year diploma write? [2] Yes, at general [00] None Public [1] Arabic education, but not [2] Amazigh [13] fourth primary Yes finished (Tifinagh) and code [1] [18] third [3]Yes, at [2] [3] French Examples : elementary professional training for the [23] Second high Private whole year [2] [4] English Elementary degree school [4] Yes, at No [5] Spanish Doctorate in surgery professional training, but not Other, specify [6] Other languages, Architect finished [5]No Professional education specify [0] No diploma Note highest earned diploma and code [1] Examples : Certificate in secreteriat Technician in management Technician in hotelry

Education and illiteracy Children never attending primary school 1200 1000 800 Female 600 Male

Education and illiteracy Children never attending primary school 1200 1000 800 Female 600 Male 400 200 0 1982 1994 2004 2012

Education and illiteracy Ratio of female to male school enrollment (%) 100 83 84

Education and illiteracy Ratio of female to male school enrollment (%) 100 83 84 90 80 70 68 91 89 87 94 73 72 60 Tertiary 50 secondary 40 Primary 30 20 10 0 1994 2004 2010

Education and illiteracy Illiteracy rate by Sex for population aged 10 and above 90

Education and illiteracy Illiteracy rate by Sex for population aged 10 and above 90 65 78 80 55 67 70 60 43 55 51 50 41 40 Male 39 30 Female 20 10 0 1982 1994 2004

Economic Activity Economic Duration activity status [00] Econ. For 7 years old and over

Economic Activity Economic Duration activity status [00] Econ. For 7 years old and over For 15 years old and over active For the [01] Unemployed 1 unemplo yed Did you work last [02] Do you have a job even if Are you currently week even for one Unemployed 2 seasonal? looking for a job? hour? Why aren’t you [03] looking for a job? Housewife Specify economic activity [04] Student [05] Landlord Duration of [07] Disabled, unemplo sick yment [08] Elderly (in years) [06] Retired [09] Child [10] Other cases

Economic Activity Primary profession Employment status Primary economic activity of establishment for the employed

Economic Activity Primary profession Employment status Primary economic activity of establishment for the employed and the unemployed write in detail [1] Employer of less than 5 persons write in detail primary Primary profession [2] Employer of more than 5 persons [3] Self employed economic activity and code [1] of establishment and code [1] [4] Salaried in public sector Examples : [5] Salaried in private sector [6] Family aid High school principal [7] Apprentice Examples : Wholeseller of fabric [8] Associate [9] Other specify Whole selling Medicine

Single Mean Age at Marriage (SMAM) 35 30 Age 25 27, 1 25, 5

Single Mean Age at Marriage (SMAM) 35 30 Age 25 27, 1 25, 5 24 31, 2 30 25, 8 26, 3 26, 6 22, 2 20 17, 5 19, 6 Male 15 Female 10 5 0 1960 * 1971 1982 1994 Data based on 2009 -2010 demographic national survey. 2004 * 2010

Fertility For non-single women (i. e. , married, widowed, or divorced), specify the total

Fertility For non-single women (i. e. , married, widowed, or divorced), specify the total number of live births For every woman For 55 years old and less Number of children who died Female Number of children living outside the household Number of children still alive Male Number of children living in the household Fertility in the past 12 months Male Life time fertility

Fertility 8 7 Evolution of the fertility rate (1962 -2010) 7, 2 6 5,

Fertility 8 7 Evolution of the fertility rate (1962 -2010) 7, 2 6 5, 91 5 4 5, 52 Fertility rate 3, 28 3 2, 47 2 2, 19 1 0 1962 1975 1982 1994 2004 2010

Life Expectancy at Birth by Sex: 1952 -2010 80 70, 6 73 70 58,

Life Expectancy at Birth by Sex: 1952 -2010 80 70, 6 73 70 58, 1 60 50 41, 9 43, 9 47, 3 60, 2 63, 7 73, 9 75, 6 66, 4 49, 1 Male 40 Female 30 20 10 0 1952 1967 1980 1987 2004 2010

Thank you “The admission of women to complete equality would be the surest sign

Thank you “The admission of women to complete equality would be the surest sign of civilization, and would double the intellectual powers of the human race. ” Stendhal (1783 -1842)