Expert Group Meeting on Strategies for Creating Urban

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 June 2004

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

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 MDG 8 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

Employment Indicators indicator 17: informal employment (HA) indicator 19: unemployment (HA) Indicator 45 Unemployment rate of 15 -24 year-olds by gender (MDG)

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).

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.

Youth age group varies across country from 15 up 35 years old International youth age group: 15 -24 years old

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.

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

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 intraurban 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. ”

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

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

Youth employment: Country estimates

Youth non-employement * Percentage of youth neither in school nor in employment

Young women non-employement * Percentage of young women neither in school nor in employment

Young men non-employement * Percentage of young men neither in school nor in employment

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.

Young women neither in school nor in employment * Percentage of young women neither in school nor in employment

Young men neither in school nor in employment by type of residence * Percentage of young women neither in school nor in employment

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

explanations Men living in the slum need to be involved in early activity economic, 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 rationalize high

Young women not working but in school * Percentage of young women not working but in school

Young men not working but in school by type of residence * Percentage of young men not working but in school

Young women working in the “informal sector” * Percentage of young women working in the informal sector

Young men working in the “informal sector” * Percentage of young men working in the informal sector

Percentage of youth working in the “informal sector” living in slum area * Percentage of youth working in the informal sector living in slum area

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.

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

Employement 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

Reasons for stopping to attend school * Percentage of young women working in the informal sector

transition of young people into the labour market and potentially into the ranks of the unemployed “higher levels of education generally not only reduce the risk of unemployment, they also increase the chance of obtaining a full time job with permanent contract”. That’s why reducing early exits from education is an important challenge in many countries.

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. 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.

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.

Percentage of women living in slum area who have family responsibilities * Percentage women living in slum area who have family responsibilities

Percentage of women living in non-slum area who have family responsibilities * Percentage of women living in non-slum area who have family responsibilities

Percentage of men living in slum area who have family responsibilities * Percentage men living in slum area who have family responsibilities

Percentage of men living in non-slum area who have family responsibilities * Percentage men living in slum area who have family responsibilities

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.

Percentage of women who are working by family responsibilities * Percentage of youth working in the informal sector living in slum area

Percentage of men who are working by family responsibilities * Percentage of youth working in the informal sector living in slum area

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.

What are the needs of youth? 19 Training Potential needs : 52 % 33

unemployment: the economy of African countries The major obstacle to the reduction of youth and general unemployment is the economy of African countries. It is mainly based on agriculture in rural areas and there are very few formal employment activities in the urban centres. Education is deemed very important and there a number of education initiatives to increase the skills of the work force, but the economy is not necessarily able to absorb a more skilled

Homelessness: Addis Abba Urban Inequities Survey 2003 Key findings

Addis Ababa Urban Inequities Survey, 2003 47 Pourcentage ge

Addis Ababa Urban Inequities Survey, 2003 Pourcentage 57 47

Addis Ababa Urban Inequities Survey, 2003 Pourcentage

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

Youth indicators (education, employment, living conditions, health, etc. ) aim at increasing knowledge on urban inequities and assisting the formation of youth propoor 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

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