In this phase it is recommended that information be gathered on the situation of women and men in a particular area. This means looking for gender disaggregated data and gender statistics, checking for the existence of previous research or projects, and/or evaluations from previous periods.

Examples of gender and migration statistics

The Eurostat database on migration and integration provides statistical information on migration data, as well as on indicators on migrants’ integration. All data are sex-disaggregated.

The database on migration and migrant population includes information about:

  • migration flows;
  • migrant population;
  • acquisition of citizenship.

The database on asylum and managed migration provides data on:

  • asylum (first-time applications: age and gender, unaccompanied minors applying for asylum, first instance and final decision on asylum);
  • Dublin statistics (covering information on persons subjects to the Dublin regulation);
  • residence permits;
  • children in migration (asylum statistics and residence permit information on unaccompanied minors).

A thematic section on indicators on migrants and migrant integration provides a set of indicators on relevant integration issues, in particular:

  1. social inclusion (income and poverty rates, leaving conditions, material deprivation);
  2. health (status and care);
  3. education (higher education attainment, early school leavers, those not in education, employment or training, participation in lifelong learning);
  4. employment (labour status, activity rate, unemployment, employment and self-employment);
  5. active citizenship (long-term residents and naturalisation rate);
  6. Labour Force Survey ad hoc modules on migrant integration (provides data from ad hoc modules of the Labour Force Survey focusing on migrant women and men in the EU labour market).
  7. Most indicators in this thematic section provide sex-disaggregated data.

OECD migration databases. The Organization for Economic Co-operation and Development (OECD) manages the Database on Immigrants in OECD countries (DIOC) and the Database on Immigrants in OECD and non-OECD countries, which includes the 32 OECD member states and 68 non-member states. The databases include census information and provide disaggregation for a number of variables, including sex, age and duration of stay. 

IOM Migration Data Portal. The International Organization for Migration (IOM) manages a migration portal providing data and thematic information on migration. The thematic section on gender and migration provides an overview of key trends and data sources for each geographical area of the world.

UN Population Division: international migration. This dataset presents estimates of international migrants by age, sex and origin. Estimates are presented for 1990, 1995, 2000, 2005, 2010, 2015 and 2019 and are available for all countries and areas of the world. The estimates are based on official statistics on the foreign-born or foreign population.


In this phase, it’s appropriate to analyse budgets from a gender perspective. Gender budgeting is used to identify how budget allocations contribute to promoting gender equality. It brings visibility to how much financial allocation is spent for women and men and whether money is fairly distributed. Gender budgeting is also a way to promote the transparency of public budgets.


In the implementation phase of a policy or programme, it is important to ensure that all those involved are sufficiently aware of the relevant gender objectives and plans. If not, briefings and capacity-building initiatives should be set up according to staff needs. Staff to consider include researchers, proposal evaluators, monitoring and evaluation experts, scientific officers and programme committee members.


A policy cycle or programme should be checked both during (monitoring) and at the end (evaluation) of its implementation.

Monitoring the ongoing work allows for the follow-up of progress and remedying unforeseen difficulties. This exercise should take into account the indicators delineated in the planning phase and realign data collection based on those indicators.

At the end of a policy cycle or programme, a gender-sensitive evaluation should take place. The evaluation should be publicly accessible and its results should be strategically disseminated to promote its learning potential.