Open SDG Data Hub

Open SDG Data Hub

To fully implement and monitor progress on the Sustainable Development Goals, decision makers everywhere need data and statistics that are accurate, timely, sufficiently disaggregated, relevant, accessible and easy to use. The Open SDG Data Hub promotes the exploration, analysis, and use of authoritative SDG data sources for evidence-based decision-making and advocacy. Its goal is to enable data providers, managers and users to discover, understand, and communicate patterns and interrelationships in the wealth of SDG data and statistics that are now available.

Small area estimation for city statistics and other functional geographies

Eurostat (2019). Small area estimation for city statistics and other functional geographies — 2019 edition.

The city data collection is one the regular data collections of Eurostat and the National Statistical Institutes. The demand for timely and reliable socio-economic data on cities and Functional Urban Areas has significantly increased. Since 2017, the cities and their Functional Urban Areas are legally recognised by the amended NUTS Regulation. To produce socio-economic data coming originally from sample surveys at the level of small units such as cities, Functional Urban Areas and other functional geographies is a complex task which requires the application of small area estimation techniques since those functional geographies are usually not incorporated in the sampling design. This paper aims at investigating on the performance of different estimation strategies against the background of various sampling designs used by the National Statistical Institute. Therefore, a design-based Monte Carlo simulation study using a synthetic but close-to-reality population has been performed. The results show that all investigated estimation approaches are able to increase the efficiency and the quality of the estimates compared to the classical design-weighted estimation techniques.

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