Expert Group Meeting on Strategies for Creating Urban Youth Employment: Solutions for Urban Youth in Africa

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1 Expert Group Meeting on Strategies for Creating Urban Youth Employment: Solutions for Urban Youth in Africa Measurement/indicators of youth employment Gora Mboup Global Urban Observatory (GUO) UN-HABITAT Nairobi, June 22-24, 24, 2004

2 TOPICS HABITAT Agenda and MDG Employment and Unemployment indicators Slum indicators Intra-city differentials: Gender, slum and education Family responsibilities and employment Youth homelessness: case of Addis Abba, UIS 2003 Youth indicators : comprehensive approach

3 The UN-HABITAT Agenda, paragraph 118 emphasizes the need to promote and strengthen productive enterprises, including micro-enterprises and other employment and training opportunities for youth at the international, regional and national levels and MDG8 Develop a global partnership for development Target 16: In co-operation with developing countries, develop and implement strategies for decent and productive work for Youth

4 Employment Indicators indicator 17: informal employment (HA) indicator 19: unemployment (HA) Indicator 45 Unemployment rate of year-olds by gender (MDG)

5 Unemployed people Not employed during a specified reference Available for work Have taken concrete steps to seek employment. In situations where the conventional means of seeking work are of limited relevance, a relaxed definition of unemployment can be applied, based on only the first two criteria (without work and currently available for work, see ILO, 2004).

6 The youth unemployment rate and non-employment rate The youth unemployment rate gives the percentage of persons aged 15 to 24 years who are actively seeking, but unable to find employment. The youth non-employment rate is a measure of the youth who are neither in education nor in employment as a proportion of the total youth population. The non-employment rate takes into consideration those discouraged youth who have dropped out of the labour market and sometimes out of society in general (see ILO, 2004).

7 Youth age group Youth age group varies across country from 15 up 35 years old International youth age group: years old

8 Youth indicators Youth employment indicators is part of a youth indicators project initiated in UN-HABITAT by the Partners and Youth section in collaboration with the Global Urban Observatory (GUO)

9 Youth indicators Youth indicators (education, employment, living conditions, health, etc.) aim at increasing knowledge on urban inequities and assisting the formation of youth pro-poor policies on the ground. While the global aggregates are needed to shape the global development priorities, youth indicators will provide instrumental guidance on improving the lives of the youth

10 Youth indicators Youth indicators EDUCATION EMPLOYMENT LIVING CONDITIONS HOUSEHOLD HEADED BY YOUTH HEALTH STATUS Literacy rates Level of education Non-employment rates Type of employment Access to water Access to sanitation Access to housing Access to information Access to energy Maternal and child health Antenatal and delivery cares Child immunization Child morbidity Maternal and child nutrition DECISION MAKING Use of resources Use of health services SOCIAL CAPITAL Networking Micro-finances INFORMATION/ COMMUNICATION Access media Access to key info HIV/AIDS knowledge prevalence orphanhood

11 Preliminary list of of Countries of of youth indicators project MIDDLE AND WESTERN AFRICA ANGOLA BENIN BURKINA FASO CAMEROON CAR CHAD COTE D IVOIRE GHANA GUINEA MALI NIGERIA SENEGAL TOGO EASTERN AND SOUTHERN AFRICA ETHIOPIA ERYTHEREA KENYA LESOTHO MADAGASCAR MALAWI MOZAMBIQUE NAMIBIA RDC RWANDA SOUTH AFRICA TANZANIA UGANDA ZAMBIA ZIMBABWE ASIA INDONESIA INDIA PHILIPPINES JORDAN PAKISTAN UZBEKISTAN KAZAKHSTAN LATIN AMERICA BRAZIL COLOMBIA PERU PARAGUAY NICARAGUA GUATEMALA MEXICO

12 Data collection and source Country data are available from Labour Force Surveys, Demographic and Health Surveys (DHS), Living Standard Measurement Surveys (LSMS), censuses, administrative records, and official national estimates.

13 Limitation of publication on youth employment Lack of intra-city differentials figures Figures of youth unemployment on urban slums encounters a critical problem. Existing data are rarely disaggregated according to intra-urban location Data sets such as Labour Force, LSMS, DHS disaggregate by urban and rural, but go no further. Few efforts have been made to reanalyze data sets where the geographic origins of the data can clearly be identified as slum and non-slum.

14 UN-HABITAT Efforts to disaggregate city data 2002: EGM on slum definition 2003: Review slum definition and country slum estimates 2003: Publication of Slums of the World: The face of urban poverty in the new millennium

15 Slum Household Indicators lack one or more of the below conditions: Access to improved water Access to improved sanitation Access to secure tenure Durability of housing Sufficient living area

16 Youth employment: Country estimates

17 Youth non-employment Mozambique 39 Tanzania 38 Kenya 37 Zambia 36 Zimbabwe 31 Nigeria 31 Mali 30 Uganda 28 Chad 27 Ghana 26 Cote d'ivoire 23 Benin 22 CAR 21 Guinea 20 Burkina Faso Cameroon Togo * Percentage of youth neither in school nor in employment

18 Young women non-employement Tanzania Mozambique Malawi Zambia Uganda Chad Mali Zimbabwe Namibia Kenya Nigeria CAR Ghana Cote d'ivoire Burkina Faso Rwanda Cameroon Guinea Madagascar Benin Togo * Percentage of young women neither in school nor in employment

19 Young men non-employement Kenya Nigeria Zambia Ghana Mozambique Zimbabwe Benin Mali Cote d'ivoire Tanzania Guinea Togo Burkina Faso Cameroon Uganda * Percentage of young men neither in school nor in employment 34

20 Gender differentials Young women non-employment rates (neither in school nor in employment) are higher than young men non-employment rates. However, employment data do not adequately reflect the situation of women in the labour market, especially in African countries where women are engaged in subsistence work and, more often than men, work in the informal sector (ILO,2001).

21 Young women neither in school nor in employment Mozambique Zimbabwe Malawi Uganda Kenya Mali Nigeria Cote d'ivoire Cameroon CAR Rwanda Non-slum Slum * Percentage of young women neither in school nor in employment

22 Young men neither in school nor in employment by type of residence Mozambique Zimbabwe Uganda 9 16 Kenya Non-slum Nigeria Slum Cote d'ivoire Cameroon CAR * Percentage of young women neither in school nor in employment

23 Gender differentials While the proportion of women who are not working is higher in the slum than in the non-slum, the proportion of their counterparts men who are not working is lower in the slum

24 Possible explanations Men living in the slum need to be involved in early economic activity, they are less educated than their counterparts men living in non-slum who also have less urgent need to be involved in economic activity. This can explain the high fertility in poor communities as it has been stated in several studies. In these communities the value of children in term of labour rationalizes high fertility rates.

25 Young women not working but in school Nigeria Namibia Cameroon Malawi Togo Burkina Faso Ghana Madagascar CAR Guinea Mali Mozambique Zambia Chad Kenya Zimbabwe Rwanda Uganda Tanzania Cote d'ivoire Benin Non-slum Slum * Percentage of young women not working but in school

26 Young men not working but in school by type of residence Mozambique Nigeria Burkina Faso Cameroon Chad Guinea Zambia Cote d'ivoire Ghana Benin Tanzania Kenya Uganda Non-slum Slum * Percentage of young men not working but in school

27 Young women working in the informal sector Benin Cote d'ivoire Rwanda Togo CAR Madagascar Chad Burkina Faso Guinea Mali Ghana Cameroon Zambia Kenya Uganda Ethiopia* Senegal* Tanzania Mozambique Nigeria Zimbabwe Namibia Malawi Non-slum Slum * Percentage of young women working in the informal sector

28 Young men working working in the informal sector Zimbabwe Benin CAR Tanzania Chad Zambia Cameroon Burkina Faso Kenya Mali Ghana Uganda Mozambique Cote d'ivoire Togo Guinea Senegal* Nigeria Non-slum Slum * Percentage of young men working in the informal sector

29 Percentage of youth working in the informal sector living in slum area CAR Burkina Faso Chad Tanzania Mali Ethiopia Mozambique Madagascar Uganda Rwanda Nigeria Malawi Senegal Benin Togo Zambia Guinea Kenya Cameroon Ghana Cote d'ivoire * Percentage of youth working in the informal sector living in slum area

30 Informal sector as expression of slum conditions Youth employment in informal sector is the expression of slums conditions in African cities. In most African countries, the majority of young people working in the informal sector are slum in-habitants. Per example in Benin they are 75 % and more than 90 % in Burkina Faso, Ethiopia, CAR, Chad, etc.

31 Youth in non-slum are attending school while youth in slum are strugling in informal sectors While youth living in non-slum areas are still attending school, youth in non-slum are either working in informal sector or looking for job

32 Employment and education In most countries youth who are working in the informal sectors are low educated or with no education at all. In fact educated people with complete secondary education or higher prefer formal job or are still attending school

33 Reasons for stopping to attend school Zimbabwe Zambia" Uganda Togo Tanzania Nigeria Mozambique Mali Madagascar Kenya Guinea Cote d'ivoire Chad CAR Cameroon Burkina Faso Benin Got married Got pregnant * Percentage of young women working in the informal sector

34 Reasons for stopping to attend school Zimbabwe Zambia" Uganda Togo Tanzania Nigeria Mozambique Mali Madagascar Kenya Guinea Cote d'ivoire Chad CAR Cameroon Burkina Faso Benin Family need help Take care of childrn * Percentage of young women working in the informal sector

35 Reasons for stopping to attend school Zimbabwe Zambia" Uganda Togo Tanzania Nigeria Mozambique Mali Madagascar Kenya Guinea Cote d'ivoire Chad CAR Cameroon Burkina Faso Benin Need to earn money Could not pay school * Percentage of young women working in the informal sector

36 Reasons for stopping to attend school Zimbabwe Zambia" Uganda Togo Tanzania Nigeria Mozambique Mali Madagascar Kenya Guinea Cote d'ivoire Chad CAR Cameroon Burkina Faso Benin Did not like school Did not pass exams * Percentage of young women working in the informal sector

37 Reasons for stopping to attend school 8 Zimbabwe 9 Zambia" 11 Uganda 3 Togo 1 Tanzania 23 Nigeria 19 Mozambique 2 Mali 2 Madagascar 2 Kenya 34 Guinea 4 Cote d'ivoire Chad 2 1 Graduated, enough CAR 1 Cameroon Burkina Faso Benin * Percentage of young women working in the informal sector

38 Promote school retention An important element of governments promotional efforts may be to convince more young people to complete school. Despite the efforts of countries to improve the employability of youth through the education system, many still leave school with very limited skills (ILO, 2001). DHS data show that exclusion from education, training and employment is often systemic: early school leavers and other at-risk young people are often drawn disproportionately from slum communities.

39 Remedial education is particularly important for illeterate young people Remedial education is also important, particularly for illiterate young unemployed people and those with poor competencies in the prevailing national or regional language. Attracting premature school leavers back into education and training is a vital element of remedial education (ILO, 2001).

40 Percentage of women living in slum area who have family responsibilities Zambia Uganda Togo Tanzania Senegal Rwanda Nigeria Namibia Mozambique Mali Malawi Madagascar Kenya Guinea Ghana Ethiopia Cote d'ivoire Chad CAR Cameroon Burkina Faso Benin Have child or married Head of household * Percentage women living in slum area who have family responsibilities

41 Percentage of women living in non-slum area who have family responsibilities Zambia Uganda Togo Tanzania Senegal Rwanda Nigeria Namibia Mozambique Mali Malawi Madagascar Kenya Guinea Ghana Ethiopia Cote d'ivoire Chad CAR Cameroon Burkina Faso Benin Have child or married Head of household * Percentage of women living in non-slum area who have family responsibilities

42 Percentage of men living in slum area who have family responsibilities Zambia 15 Uganda 34 Togo Tanzania Senegal Nigeria 8 4 Mozambique 3 Mali Kenya 6 27 Have child or married Guinea Ghana 5 21 Head of household Ethiopia 15 Cote d'ivoire 16 Chad 16 CAR 14 Cameroon Burkina Faso Benin * Percentage men living in slum area who have family responsibilities

43 Percentage of men living in non-slum area who have family responsibilities Zambia 4 Uganda 5 Togo 6 Tanzania 5 Senegal Nigeria 4 2 Mozambique 3 Mali Kenya Guinea Have child or married Head of household Ghana 17 Cote d'ivoire 2 Chad 9 CAR 11 Cameroon Burkina Faso Benin * Percentage men living in slum area who have family responsibilities

44 Youth family responsibilities Youth residing in slum areas are more likely to have a child, or be married or to head an household than their counterparts living in non-slum areas. As family responsibilities increase, needs of job evolve. However due to the lack of performance of African economies and their low level of education these young people could find only jobs in the informal sector. With a low salary and insecure job, these young people will remain raising their family in slum communities. This is the poverty trap

45 Percentage of women who are working by family responsibilities Benin Togo Ghana Madagascar Rwanda Guinea Burkina Faso Ethiopia CAR Cote d'ivoire Kenya Cameroon Mali Uganda Zimbabwe Chad Zambia" Senegal Namibia Nigeria Tanzania Mozambique Malawi No Family responsibilities Family responsibilities * Percentage of youth working in the informal sector living in slum area

46 Percentage of men who are working by family responsibilities Tanzania Zimbabwe Benin Uganda Cote d'ivoire Burkina Faso Zambia" Senegal Kenya Ghana CAR Chad Ethiopia Mozambique Mali Togo Guinea Nigeria Cameroon No family responsibilities Family responsibilies * Percentage of youth working in the informal sector living in slum area

47 Family responsibilities create the needs of job among youth Youth who have family responsibilities are more likely to hold a job than their counterparts. However there is considerable number of youth with family responsibilities who are still looking for a job or are unskilled workers.

48 Consequences of Youth non-employment: Homelessness: Addis Abba Urban Inequities Survey 2003 Key findings

49 Homeless people by age group, Addis Ababa Urban Inequities Survey,, Pourcentage Male Female Don't Know Âge

50 None Primary Secondary or higher Homeless people level of education, Addis Ababa Urban Inequities Survey,, Pourcentage 33 Male Female

51 Homeless people by migration reasons Addis Ababa Urban Inequities Survey,, Pourcentage Male Female Work-Cash income Family Abused at home other

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