Global Calendar of Statistical Events

Organizer(s): ESCAP

Description: This training workshop will provide a platform for policymakers and  technical officials to deepen their understanding of the nature and policy dimensions of illicit financial flows, drawing on evidence, estimates, and international good practices. It aims to strengthen the capacity of participants to formulate, implement, and evaluate policy measures tailored to their national contexts. The target audience for the workshop will include policymakers and senior officials from government institutions involved in governance, statistics, public finance, and anti-illicit flow efforts. Specific institutions such as the Banke of Bangladesh, Bangladesh Financial Intelligence Unit, National Statistics Office, National Customs Authority, Ministry of Finance, Customs and Tax Authorities will be invited.

Topics: Crime and criminal justice (CSA 40801)

Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link

Event URL: Event Page

Organizer(s): ESCAP

Description: The workshop targets national institutions involved in IFF measurement and policy development. Expected participants are mid-level experts from: Bangladesh Financial Intelligence Unit (BFIU), Bangladesh Bank, Bangladesh Bureau of Statistics, Bangladesh Customs, Bangladesh National Bureau of Revenue and Ministry of Finance.  The objective of the workshop is to strengthen the statistical capacity of national institutions to measure trade-related IFFs. It is funded under a DA15 project “Measuring and curbing illicit financial flows”.   Please find the concept note here.Please click the link to get to Day 2 Files

Topics: Crime and criminal justice (CSA 40801)

Event URL: Event Page

Organizer(s): BBS WOMEN COUNT ESCAP ESCAP SIAP UN-Women

Description: Within the framework of the Sustainable Development Goals (SDGs)gender equality is not only a standalone goal but also one of the crosscutting universal values that underpin the SDGs and a necessary precondition for achieving the goals of the 2030 development agenda. Good qualitytimelycomparableand disaggregated gender data provide the evidence needed to measure progress towards achieving the gender-related SDG goals and targets. The Progress on the Sustainable Development Goals – The Gender Snapshot 2024 produced by the United Nations Entity for Gender Equality and the Empowerment of Women (UN Women) and the Department of Economic and Social Affairs (DESA) shows that while there are notable advancementsincluding reductions in povertynarrowing gender gaps in educationand progress toward legal reformsthere remains progress to be achieved across all indicatorswith only five years left to reach the 2030 Sustainable Development Goal deadline.

Topics: Sustainable development (CSA 501) Gender statistics (CSA 503)

Event URL: Event Page

Organizer(s): UNKNOWN AI Generated

Description: This course shall present theoretical and practical issues related to the compilation of Index of Service production (ISP). The course is mainly based on the OECD Compilation Manual for an Index of Service Production. The aim of the course is to provide participants with necessary skills to compile the ISPs.  The course consists of lectures covering conceptual and methodological issues as well as exercises that require the application of these concepts and methods. The course covers the following topics: Sources and methods of ISP compilation. Treatment of input data. Index compilation. Seasonal adjustment; and Revision analysis.

Target Audience: The workshop is intended for officials employed in the Bangladesh Bureau of Statistics who are integrally involved in the compilation of national accounts.

Course Language: English

Topics: Business statistics (CSA 202)

Event URL: Event Page

Organizer(s): IMF

Description: Classification of the Functions of Government (COFOG) is a classification defined by the United Nations Statistics Division and adapted to the IMF government finance statistics (GFS) reporting framework. COFOG enables trends in government expenditure by function (e.g., defense or education) or policy purposes to be examined over time. The value of this is that expenditure by functions of government of different countries can be compared. Participants will gain an understanding of how the ten functions of government as described in the GFSM 2014 are classified, how to categorize expenditure data to generate a functional split will be explained and how it should reconcile with the economic classification of expenditure data used in the GFS. Participants should feel comfortable to present and discuss relevant data of their own country. Practical exercises with participants working in random groups will feature throughout the course enabling them to be able to appropriately categorize expenditure data to the correct functional categories.

Course Language: English

Topics: Classifications (CSA 602) Government finance statistics (CSA 20103)

Event URL: Event Page