Albania

Statistics Sweden and the Albanian national institute of statistics INSTAT have a long history of collaboration. The current project, which began in September 2025, aims to build INSTAT's capacity to meet national legislation and EU requirements. This is expected to promote greater use of statistics in shaping policies for improved living conditions, while also supporting Albania's preparations for future EU membership.

The project covers staff capacity development, coordination of the national statistics system, external communication, internal coordination, data management and statistical production. Beyond the INSTAT itself, the project also partners with the University of Tirana and Örebro University to strengthen statistics education in Albania.

Kenya

The project aims to support the Kenya Bureau of Statistics (KNBS) so that decision-makers can rely on reliable and quality-assured statistics to shape policies that contribute to improved living conditions for the population.

In recent years, the project has focused particularly on further developing quality work at KNBS and within the National Statistical System. IT infrastructure and key statistical products have also been in focus. In economic statistics, key products such as Gross Domestic Product (GDP), Consumer Price Index (CPI), and Producer Price Index (PPI) have been improved, providing a more reliable basis for decision-making related to the Kenyan economy. Furthermore, gender mainstreaming has increased within social statistics.

Kosovo

In 2024, a new project phase begins in the collaboration with the Kosovo Agency of Statistics (KAS). It aims to increase the quality and efficiency of the statistical authority's work processes so that the organisation can produce reliable, high-quality statistics for its users. Another objective of the support to KAS is to facilitate closer ties with the EU by meeting statistical requirements. 

Between 2024 and 2027, Statistics Sweden will therefore contribute to capacity development at KAS in the areas of gender statistics, price statistics, register-based statistics, the statistical production process, and IT.

North Macedonia

The overall aim of the project with the State Statistical Office (SSO) is to increase the availability and use of official statistics in North Macedonia.

With support from the project, SSO is about to implement a system for planning and monitoring statistical production. Additionally, a statistical employment register has been implemented, which has already been used in several labour market surveys and is expected to contribute to increased quality, reduced costs, and reduced respondent burden. SSO now also compiles the Services Price Index on a regular basis and without support, enhancing the ability to analyse the development in the country's service sector.

Zambia

Statistics Sweden collaborates with the Zambian statistical authority, ZamStats, aiming to increase the availability of relevant and reliable statistics based on users' needs. Through the collaboration with Statistics Sweden, ZamStats has strengthened its role as the coordinating authority for the National Statistical System in Zambia.

Additionally, the project has developed tools for statistical production, including statistical guidelines (Code of Practice) and a template for reporting the quality of published official statistics. Through the work with the Household Budget Survey, the project has supported ZamStats in developing advanced methodological competence within the authority. The collaboration has also promoted the use of alternative methods for data collection.

Regional project for migration statistics in Africa

The project aims to improve and harmonise migration statistics at regional and continental levels in Africa. Here, Statistics Sweden collaborates with the African Union's statistical body, StatAfric, and six selected economic communities on the continent.

Examples of results and activities include improved data collection from member countries on labour migration by strengthening knowledge of existing data, alternative data sources, and methods. For instance, established statistical methods to compensate for non-response have been introduced to improve migration statistics, which are published in reports at the national and regional levels. Coordination of migration statistics has also improved significantly, through collaboration with the International Organisation for Migration (IOM) and the International Labour Organisation (ILO), among others.