background preloader

Statistiques OCDE

Statistiques OCDE

Global Terrorism Database The updated GTD WebGL Globe is an interactive geographic visualization, currently in beta, that plots the location and frequency of yearly terrorist attacks worldwide from 1970-2014. It was developed by START using the WebGL Globe open platform created by the Google Data Arts Team. Automated geocoding from the OpenCage Geocoder supplements the geocoding available in the public dataset. Periscopic, a data visualization firm that promotes information transparency and public awareness, has produced an innovative, interactive tool that allows users to explore the impact and dynamics of GTD perpetrator groups. The GTD Data Rivers 2.0 application is an interactive visualization tool that allows users to explore patterns of terrorism in the Global Terrorism Database (GTD). Learn to navigate and analyze the GTD START has released the first in a series of training modules designed to equip GTD users with the knowledge and tools to best leverage the database. More Read more How do you use the GTD?

Housing Prices - Eurostat HICP is part of the so-called Euro-indicators that are designed to give a general overview of the economic situation of the euro area, the European Union and Member States. The HICP-related tables include the following data, for the latest 12 months: Indices Percentage change with respect to the previous month (m/m-1) Percentage change with respect to the corresponding month of the previous year (m/m-12) Percentage change (-12 months average) The data is not seasonally adjusted. Data are automatically updated on release dates (see release schedule). Further information and download options for the above tables can be found on the Euroindicators host page. Annual average rate of change (annual data)

IMF Data and Statistics Data and Statistics Last Updated: April 03, 2014 The IMF publishes a range of time series data on IMF lending, exchange rates and other economic and financial indicators. Manuals, guides, and other material on statistical practices at the IMF, in member countries, and of the statistical community at large are also available. Data Standards& Codes Manuals& Guides Meetings & relatedstatistical material Global Data World Economic Outlook Databases (WEO) updated Download time series data for GDP growth, inflation, unemployment, payments balances, exports, imports, external debt, capital flows, commodity prices. Back to top IMF Financial Data IMF Financial Data by Country Summary of IMF members' relations with the FundMore IMF Financial Data By Topic Disbursements & Repayments Historical data since 1984. Exchange Rate Data External Sector Statistics

Focus on house prices Using these indicators, housing prices in the OECD area as a whole are broadly in line with long-term averages, and rising by about 2½ per cent per year. In the euro area, prices are also broadly in line with long-term averages, but falling by about 2½ per cent per year. These area averages hide wide disparities across countries, however. OECD countries can be roughly placed into five categories: Where houses appear broadly correctly valued.

DocumentCloud Housing statistics - Statistics Explained Data extracted in November 2015. Most recent data: Further Eurostat information, Main tables and Database. Planned article update: November 2016. Figure 1: Distribution of population by dwelling type, 2014(% of population)Source: Eurostat (ilc_lvho01) Figure 2: Distribution of population by tenure status, 2014(% of population)Source: Eurostat (ilc_lvho02) Figure 3: Overcrowding rate, 2014(% of specified population)Source: Eurostat (ilc_lvho05a) Figure 4: Severe housing deprivation, 2013 and 2014 (1)(% of population)Source: Eurostat (ilc_mdho06a) Decent housing, at an affordable price in a safe environment, is a fundamental need and right. Main statistical findings Type of dwelling In 2014, 4 out of every 10 persons in the EU-28 lived in flats, just over one quarter (25.6 %) in semi-detached houses and just over one third (33.7 %) in detached houses (see Figure 1). Tenure status Housing quality Housing affordability Data sources and availability Context See also Further Eurostat information Database

Related: