Remuneration statistics for administrative purposes are a set of indicators used to monitor the evolution of national and EU average civil servant remuneration, the evolution of consumer price levels relative to Brussels for intra-EU capital cities and Extra-EU capital cities (and selected other duty stations), the evolution of consumer prices in Brussels and Luxembourg, and related information.
- Analysis of national civil service central public administration expenditure;
- Adjustment of remuneration of expatriate international civil servants;
- Adjustment of indemnities for participants in expatriate exchange programmes (teachers, students, researchers);
- Adjustment of mission expenses for international civil servants (daily subsistence allowances, hotel ceilings);
- Adjustment of joint sickness insurance scheme healthcare cost equivalence coefficients;
- Number of employees in national civil service central public administration (EU28);
- Year-on-year evolution of gross remuneration (EU28), annual time series to 1 July;
- Year-on-year evolution of net remuneration (EU28), annual time series to 1 July;
- EU average gross specific indicator, annual time series to 1 July;
- EU average net specific indicator, annual time series to 1 July;
- Joint Belgium and Luxembourg consumer price inflation index, annual time series 12 months to 1 July;
- Bilateral correction coefficients with Brussels for Intra-EU capital cities and selected other duty stations (33 locations), annual time series at 1 July;
- Bilateral correction coefficients with Brussels for Extra-EU capital cities and selected other duty stations (144 locations), annual time series at 1 July;
- Bilateral correction coefficients with Belgium for EU member states, annual time series at 1 July;
- InforEuro exchange rates, annual time series at 1 July.
The production of remuneration statistics for administrative purposes is a complicated annual exercise involving the national statistical institutes and other recognised authorities of EU member states, which is conducted in collaboration with the United Nations International Civil Service Commission, the International Section on Remuneration and Prices of the 6 Coordinated Organisations (NATO, OECD, ESA, CoE, ECMWF, EUMETSAT), and selected other organisations (EPO, EuroControl, etc).
Data is compiled in accordance with the EU Staff Regulations, the European Statistics Code of Practice, specific procedures agreed at meetings of the Working Group on Articles 64 & 65, and rules applicable to underlying data sources such as the 2007 PPP Regulation [link], the 1995 HICP Regulation [link], the ESA 2010 Regulation.
Wherever possible, use is made of statistics already compiled for parallel purposes. For the calculation of correction coefficients, this includes the price data collected under the European Comparison Programme to establish multilateral purchasing power parities for national accounts purposes, and the Harmonised Index of Consumer Prices. Specific annual surveys are done to establish rent price levels. Periodic surveys amongst expatriate international officials are done to identify consumption expenditure patterns.
To identify national civil servant employee numbers and national civil servant remuneration levels, specific annual surveys are coordinated by Eurostat. These are converted from nominal to real terms using HICP statistics, and are aggregated to produce EU average using GDP statistics.
The EU Staff Regulations is the official document describing the rules, principles and working conditions of the European civil service. These rules are essential to guarantee the European civil service maintains the highest standards. As of 1 January 2014 a new version of the Staff Regulations came into force.
The European Statistics Code of Practice sets the standard for developing, producing and disseminating European statistics. It builds upon a common ESS definition of quality in statistics and targets all relevant areas from the institutional environment, the statistical production processes to our output: European official statistics.