OPM is helping to develop a social budget model for the Government of South Africa
OPM has supported the development of statistical quality assessment frameworks in South Africa
We have helped national statistical offices achieve their targets for more than 25 years
OPM has developed and implemented statistical modernisation strategies in Ethiopia, Barbados, South Africa, Liberia, Pakistan, the Gambia and Rwanda
We are advising the Government of Barbados on the modernisation of the statistical system of Barbados
We are supporting the Living Conditions Monitoring Survey of Rwanda, which monitors the impact of poverty reduction policies implemented by the government
OPM has a portfolio dedicated entirely to supporting and modernising national statistical offices
OPM has undertaken or supported household surveys in more than 40 countries
We have prepared a study assessing models of statistical governance for DFID
Our services
OPM’s Official Statistics team supports and helps modernise national statistical offices and governments’ wider national statistical systems. It thereby focusses entirely on statistics produced and used by governments. To help national statistical offices achieve their objectives, our expertise includes the areas detailed below.
The main objective of national statistical offices is to generate statistics that support government decision-making. Regular and reliable official statistics are an important prerequisite of effective policy-making.
As national statistical offices modernise, it is imperative that their staff’s technical skills, including their ability to apply the latest statistical methods, develop accordingly.
Large-scale surveys can provide rich insights for policy makers but they can also be complex and challenging to conduct. To generate reliable data, careful attention has to be paid to a wide variety of issues.
The growing emphasis on regionalisation of government expenditure and aid investment has led to an increased demand for accurate statistics that enable policy-makers to compare regions.
Adhering to international standards and implementing rigorous quality control mechanisms are essential for producing reliable, comparable data.
Statistical work is intimately connected to modelling. All models are simplified, numerical descriptions of reality based on hypotheses about behavioral relationships.