owid

{
    "link": "https://stats.oecd.org/Index.aspx?DataSetCode=MEI_PRICES_PPI",
    "retrievedDate": "16-March-18",
    "additionalInfo": "Unit of measure used\nIndex (2010 = 100), Percentage change on the same period of the previous year, Percentage change from previous period.\nDate last updated\n28/02/2018 06:07:04\nContact person\nOECD statistics contact: [email protected]://www.oecd.org/std\nStatistical population\nThe 'Producer Prices (MEI)' dataset predominantly monthly statistics, and associated statistical methodological information, for the 35 OECD member countries and for some six non-member countries: Brazil, China, India, Indonesia, Russian Federation and South Africa. The \u2018Producer Prices (MEI)\u2019 dataset itself contains statistics on Producer Price Indices. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series\u2019 data to aid with analysis. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data), and are presented as an index where the year 2010 is the base year.\nKey statistical concept\n\nRecommended uses and limitations\nIndicators have been prepared by national statistical agencies primarily to meet the requirements of users within their own country. In most instances, the indicators are compiled in accordance with international statistical guidelines and recommendations. However, national practices may depart from these guidelines, and these departures may impact on comparability between countries; in such cases the deviations from practices are described in metadata for the relevant county and subject coordinates. There is an on-going process to review and improve the contents of the database in order to maximise the relevance of the database for short-term economic analysis, for example, through the inclusion of new indicators reflecting new areas of analysis and policy making.\n",
    "dataPublishedBy": "OECD.Stat",
    "dataPublisherSource": null
}