Yes, you have the option to save a draft of the questionnaire and continue at a later time. This can be useful if you need to verify or gather additional information from colleagues within your organization. However, we recommend completing the questionnaire in one go, if possible, as knowledgeable respondents within your institution are likely to have all the required information readily available. 

For any questions or clarifications or if you encounter any issues with the online form, please don’t hesitate to contact Mr. Filip Mitrovic ([email protected]) or Dikago Puoeng ([email protected]).

Participating in the GAIN Survey allows EGRISS to gather comprehensive and accurate information, enabling better addressing the unique challenges faced by practitioners making efforts to include these populations in official statistics. Your input is instrumental in shaping policies and strategies in this regard.  

You can include multiple examples in a single questionnaire. When completing the survey, you will be able to add additional examples (question PRO02) by clicking the ‘plus (+)’ in thus section of the form and provide relevant information for each example.

Please provide update information on this year’s survey. Examples reported in previous years will be pre-loaded in the 2023 survey (in the UPD section).

Yes, even if your organization does not have any examples to report for 2024, your input is still valuable and we encourage you to complete the survey. The GAIN Survey includes questions about planned future examples (FPR section) and the use of other EGRISS outputs or recommendations. Sharing information on upcoming initiatives or explaining why no examples are available provides essential context for EGRISS, helping to identify gaps and prioritize support where it’s needed most.  

Example (in PRO01 and PRO01A) in this survey is an organized initiative taking place in 2023 that includes or solely focuses on improving/producing national statistics on refugees, IDPs and/or stateless people. These examples encompass a wide range of activities. They might involve working on a data source like implementation of a survey, administration of a database, work on a census, a data integration project between different data sources, work on a non-traditional data source. Examples can also be tools such as the development of strategies, guidance documents, or training sessions and workshops. They can occur at different levels, whether on a national, regional, or global scale, and they may be at various stages of progress in 2024, including planning or implementation phases. Additionally, examples can entail collaboration with partners.

Data sources and tools (PRO08) used to provide information on the example can be: (A) statistical surveys, (B) government records and databases, (C) general population censuses, (D) combining data from many places, (E) non-standard sources like humanitarian groups or social media data, (F) developing strategic documents, (G) following guidelines or toolkits, (H) giving training or workshops to get data, and any other source not listed where data comes from.  

Challenge (in PRO19 and PRO20) in this survey refers to significant difficulties encountered during the project such as (A) trouble getting data from everyone, mistakes in data collection(C) difficulties in identifying specific groups like refugees or stateless people, (D) concerns about data confidentiality and privacy, as (E) resource constraints (like not having enough money or people), (G) issues related to politics or security, (H) delays or issues with data quality, (I) not having the right skills or tools for the project, (J) lacking clear instructions, or any other unique problems faced during the example.

Future Examples (FPR) section enables respondents to provide details on anticipated examples that may start in 2025. Responses provided support forward-looking planning and help identify emerging trends, align efforts across stakeholders, and enhance collaboration between national, regional, and international actors to advance statistical inclusion efforts.