1887

Zambia

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This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.
This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.
This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.
This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.
This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.
This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.
  • 02 Dec 2021
  • OECD
  • Pages: 102

Today, the global youth population is at its highest ever and still growing, with the highest proportion of youth living in Africa and Asia, and a majority of them in rural areas. Young people in rural areas face the double challenge of age-specific vulnerabilities and underdevelopment of rural areas. While agriculture absorbs the majority of rural workers in developing countries, low pay and poor working conditions make it difficult to sustain rural livelihoods. Potential job opportunities for rural youth exist in agriculture and along the agri-food value chain, however. Growing populations, urbanisation and rising incomes of the working class are increasing demand for more diverse and higher value added agricultural and food products in Africa and developing Asia. This demand will create a need for off-farm labour, especially in agribusinesses, which tends to be better paid and located in rural areas and secondary towns. It could boost job creation in the food economy provided that local food systems were mobilised to take up the challenge of higher and changing domestic demand for food.

Using household data from 15 countries in Latin America and Africa, this paper explores linkages between informality and education-occupation matching. The paper applies a unified methodology to measuring education-occupation mismatches and informality, consistently with the international labour and statistical standards in this area. The results suggest that in the majority of low- and middle-income developing countries with available data, workers in informal jobs have higher odds of being undereducated as compared to workers in formal jobs. Workers in formal jobs, in contrast, have higher chances of being overeducated. These results are consistent for dependent as well as for independent workers. They also hold for men and for women according to the gender-disaggregated analysis. Moreover, in the majority of countries considered in this paper, the matching-informality nexus is also related to the extent of informality in a given area: in labour markets with higher informality, informal workers in particular have a higher chance of being undereducated. The paper discusses policy implications of these findings.

L'emploi informel, défini par l'absence de protection sociale basée sur l'emploi, constitue la majeure partie de l'emploi dans les pays en développement, et entraîne un niveau de vulnérabilité à la pauvreté et à d'autres risques qui sont supportés par tous ceux qui dépendent des revenus du travail informel. Les résultats de la base de données des Indicateurs clés de l’informalité en fonction des individus et leurs ménages (KIIbIH) montrent qu'un nombre disproportionné de travailleurs de l'économie informelle de la classe moyenne reçoivent des transferts de fonds. Ces résultats confirment que les stratégies de gestion des risques, telles que la migration, jouent un rôle dans la minimisation des risques potentiels du travail informel pour les ménages informels de la classe moyenne qui peuvent ne pas être éligibles à l'aide sociale. Ils suggèrent en outre que les travailleurs informels de classe moyenne peuvent avoir une demande solvable d'assurance sociale, de sorte que, si des régimes d'assurance sociale adaptés aux besoins des travailleurs informels leur étaient accessibles, les transferts de fonds pourraient potentiellement être canalisés pour financer l'extension de l'assurance sociale à l'économie informelle.

English

Informal employment, defined through the lack of employment-based social protection, constitutes the bulk of employment in developing countries, and entails a level of vulnerability to poverty and other risks that are borne by all who are dependent on informal work income. Results from the Key Indicators of Informality based on Individuals and their Households database (KIIbIH) show that a disproportionately large number of middle‑class informal economy workers receive remittances. Such results confirm that risk management strategies, such as migration, play a part in minimising the potential risks of informal work for middle‑class informal households who may not be eligible to social assistance. They further suggest that middle‑class informal workers may have a solvent demand for social insurance so that, if informality-robust social insurance schemes were made available to them, remittances could potentially be channelled to finance the extension of social insurance to the informal economy.

French

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

  • 18 May 2019
  • OECD, International Labour Organization
  • Pages: 28

As Zambia plans for extending social protection coverage, this high level of informality will be an important challenge for the social protection system, in particular in terms of coordinating both non-contributory social assistance mechanisms and contributory social insurance programmes. This report on informality and poverty presents useful and critical information to support comprehensive policy dialogue on suitable interventions for extension of coverage by providing in-depth analyses of the socioeconomic characteristics of informal workers and analyzing the relationship between household welfare and formal/informal employment status of household members. For the first time this study provides a detailed distributional analysis of welfare and wellbeing levels of informal workers in Zambia.

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

The Zambia country pilot study was conducted by the OECD Development Assistance Committee (DAC) to explore the challenges of transition finance for a commodity-based Least Developed Country (LDC). In particular, debt sustainability concerns are viewed within the context of the shifting financing for sustainable development landscape of Zambia following its re-classification to Lower Middle Income Category (LMIC).

In line with the Addis Ababa Action Agenda (AAAA), the pilot study proposes a new “ABC” approach targeted to assess all available sources of financing (official development finance, private investment, domestic resources, and remittances), identify emerging SDG financing gaps and promote better alignment of resources with national financing for sustainable development strategies.

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

  • 26 Apr 2017
  • OECD
  • Pages: 96

This strategic foresight report assesses the interaction between demographics, economic development, climate change and social protection in six countries in East Africa between now and 2065: Ethiopia, Kenya, Mozambique, Tanzania, Uganda and Zambia. The report combines population projections with trends in health, urbanisation, migration and climate change and identifies the implications for economic development and poverty. It concludes by identifying policies to address seven grand challenges for social protection planners in national governments and donor agencies which emerge from the projections. These include: eliminating extreme poverty; extending social insurance in a context of high informality; the rapid growth of the working-age population, in particular the youth; adapting social protection to urban settings; protecting the poor from the effects of climate change; harnessing a demographic dividend; and substantially increasing funding for social protection.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

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