Indicator H2a measures the ratio of the personnel resources available for the governmental gender equality body to the size of the Member State in terms of population. The number of employees is given in person-years, meaning fulltime year-round employment excluding all project personnel that do not receive funding from the state budget. The indicator is calculated as the ratio between persons employed in the governmental gender equality body and the population (in millions) in each Member States employees per population (millions) in each Member State. It is reported both in absolute terms and as deviation from the median.
The data collection process started in 2005 with the Finnish Presidency (with the exception of staff training); it was repeated in 2013 (with reference period 31 December 2012), and was repeated in 2019 (with reference date 31 December 2018). The data collection can be repeated in subsequent years, based on the methodology provided in the EIGE 2019 report, Annex I.
The results for 2005, 2012 and 2018 are comparable to a limited degree over time. This is because the methodology to collect data has changed slightly over time, putting more weight on assessment by independent experts rather than self-assessment by the government where possible. The values should be interpreted with caution, as they present the situation at different points in time, and the specific reasons for changes between these years are not reviewed in detail.
Notes: BG, HR and RO were not included in the Finnish Presidency survey and therefore data for 2005 are not available; for 2012: for BE, DE, FR the number of employees for regional gender equality bodies are included; for DE data about number of employees are not available for Bremen, Hamburg, Rheinland-Pfalz, Schleswig-Holstein.
Available flags:
| b | break in time series | c | confidential |
| d | definition differs, see metadata | e | estimated |
| f | forecast | i | see metadata |
| m | imputed | n | not significant |
| p | provisional | r | revised |
| s | Eurostat estimate | u | low reliability |
| x | dropped due to insufficient sample size | y | unreliable due to small sample size |
| z | not applicable |