Food and Agriculture Organization
Дата обращения к источнику: 11 октября, 2017
The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.