Skip navigation

Attachments [ 0 ]

There are no files associated with this item.

More Details

2023-03-13T18:52:31Z | 2023-03-13T18:52:31Z | 2023-03
World Bank, Washington, DC

Data transparency about critical economic issues may be key to driving growth and enhancing trust in government in the Middle East and North Africa. Several knowledge products and technical analyses on the region have been greatly constrained by the lack of availability of detailed data, and the relatively outdated nature of many available datasets. The goal of this study is to ascertain the state of data systems in the Middle East and North Africa region. Through analysis of several indicators, with their limitations in mind, the study uses descriptive analyses and uncovers six stylized facts of the region: (i) developing economies in the Middle East and North Africa have poor data ecosystems, largely due to the prevalence of conflict; (ii) developing economies in the Middle East and North Africa as a group have experienced the largest deterioration in data systems over time; (iii) data systems in richer economies in the Middle East and North Africa region underperform relative to their income peers; (iv) Gulf Cooperation Council economies underperform in data openness, especially online access, despite having the resources for online features; (v) the regulatory framework for data (data infrastructure) is poor throughout the region, especially in Gulf Cooperation Council economies; and (vi) the dispersion of source data scores – a measure of availability and timeliness of micro data – in the region suggests that national statistical offices in the region could learn from each other. Furthermore, the study summarizes data availability and timeliness for specific macro, micro, and public health indicators for countries across the region. The need for forging a social contract for data is discussed, as well as the role international institutions can play through a statistics compact for the region.

Comments

(Leave your comments here about this item.)

Item Analytics

Select desired time period