PPT-Projections of the

disease burden Vegard Skirbekk Norwegian Institute of Public Health Columbia University Projections Projections From expert input to statistical calibration of. Nonetheless in the baseline projection the underlying forces for a continued recovery remain in place ome stic demand will benefit from the accommodative monetary policy stance strengthened by the standard and non standard measures taken in June 201 20 to 22 26 to 30 26 to 29 23 to 25 20 to 23 18 to 23 21 to 32 21 to 30 20 to 26 18 to 26 June projection 21 to 23 30 to 32 25 to 30 na 21 to 23 19 to 24 22 to 36 22 to 32 na 18 to 25 Unemployment rate 59 to 60 54 to 56 51 to 54 49 to 53 52 to 55 5 23 to 27 23 to 27 20 to 24 20 to 23 21 to 31 22 to 30 18 to 25 18 to 25 December projection 26 to 30 25 to 30 23 to 25 20 to 23 21 to 32 21 to 30 20 to 27 18 to 27 Unemployment rate 50 to 52 49 to 51 48 to 51 50 to 52 48 to 53 45 to 52 48 to 55 49 Representing the Earth: Globes. Why is a globe more accurate than a map?. . A globe is shaped like the Earth and provides a true picture of the size and shape of landmasses and of distances across land masses.. possiblebecube?cubelabeledlabeled?tapepaper?bepolygonscorrespondingcubes.Projections:projectionscubeDescribecubeprojections Dave Rutledge, Caltech. 2013 GSA Annual Meeting, Denver. Outline. Projections from regional coal histories. Projection for world coal production. Comparisons with the scenarios used by climate modelers. Hugh Mackenzie. April 2014. Summary. What are the household projections?. How are they produced?. Five inputs. Seven steps. Variant projections. How to get Census data & analysis. What are household projections?. – . An assessment of past emission projections reported by Member States under EU air pollution and greenhouse gas legislation. . Martin . Adams, Melanie Sporer. . Air and Climate Change Programme . Ludi Simpson, University of Manchester, 21/11/2014. “The survey reveals widespread and growing interest in demographic prospects, particularly strong in the Health Service and Local Government. Only a minority of users looked very far ahead. . Neil McDonald and Christine Whitehead . Alan Holman’s Legacy. Alan first made estimates of housing demand and need in 1970 - to inform central government of housing supply . requirements . necessary to . DCLG . 2011-based projections. Tim Lyne, Experian. The DCLG household projections – . summary of the approach. What the . data . available . at . the time of producing the projections told us about household formation. 2037. Christine Whitehead. LSE . Future Housing Needs and How Best to Meet Them?. TWRI Conference. November 4. th. 2016. The latest projections . The latest 2014-based projections suggest that the number of households will increase from 22.1 million in 2011 to 27.7 million in 2037.. Actuals. Projections. . (Sept.. 2015. ). Projections. . (Aug. 2016). Source: . EEI . Finance Department, company reports, . S&P Global Market Intelligence (. August 2016).. Notes: . Total . company . Mercator. Polar. Robinson. Mercator Projection. Most Accurate. in the tropics. from Cancer to Capricorn. Most Distortion. at the North and South Poles. Mercator Projection. Used for:. Locating Latitude and Longitude.