NComVA Statistics Publisher Blog

Ageing population in Europe, Africa (Uganda) and Japan

2011-02-21T09:05:00.001-08:00

Ageing Population in Europe 1990-2009

2011-02-17T01:22:00.000-08:00

Distribution Plot Sverige Kommuner 65+

2011-02-08T08:05:00.000-08:00

Dynamisk Vislet: Du kan byta indikatorer i detta distributionsdiagram genom en panel i vänstra hörnet - Färgen som styr cirklarna i diagrammet ändras i färglegenden. Om du för musen över de färgade cirklarna kan du se kommunernas namn.

Energy Consumption in Italian Regions produced by ISTAT

2011-02-05T05:16:00.001-08:00

This Vislets was copied from ISTAT http://noi-italia.istat.it/
http://noi-italia.istat.it/index.php?id=7&user_100ind_pi1[id_pagina]=85&cHash=cf811b3baba7e176af6c24a61c6f6a44

Ageing Population in Europe and Japan 1960-2009 with indicators from the World Bank statistical database

2011-01-28T03:02:00.000-08:00

An embedded interactive Vislet in a public web page
In this public web site, NComVA presents an innovative technology that focuses on the most ancient of social rituals: “storytelling” – exemplified through telling a geovisual analytics story about a country’s development over time and shape the measure of demographics, economic, health and well-being. Discoveries that more engagingly draw us into reflections about the knowledge on how life is lived - and can be improved – from region to region and in addition let the reader dynamically participate in this interactive process and help advancing technology critical to the dissemination of official statistics by means of web-enabled reporting tools. Geovisual analytics is a technique that can help illustrating high-dimensional statistical temporal data which for the eye are hard perceive or interpret. We demonstrate visual “storytelling” means for the author to import large spatio-temporal statistical data (here from the World Bank database), explore and discern trends, create a story with snapshots and metadata and finally publish understandings and knowledge embedded in this public web page. The story and its snapshots guide the reader in the directions of both context and discovery through a highly engaging intuitive visual interface “vislet” based on cognitive principles and at the same time follow the analyst’s way of logical reasoning. Value no longer relies solely on the content but also on the ability to access this information.

This dynamic web site was produced by our Statistics Publisher application using a story developed in the World eXplorer based on selected statistics data from the 420 indicators among the World Development Indicators (WDI) covering 209 countries from 1960 to 2009.

Figure: Three interactive and dynamic linked views map, scatter plot and histogram showing population age group 65+ in the map and histogram, while the scatter plot also includes the age group 0-14 on the horizontal axis allowing you to the correlation between these to age groups for the years 1960-2008. You can click on any country in the world map which is then highlighted in each view. You can select more than country simultaneously and compare countries by pressing CTR button at the same time. You can select 3 indicators in all views age 0-14, 15-64 and 65+. The (?) icons give you more information how to navigate these three graphs.

This innovative interactive web visualization demonstrator tells a story about ”ageing population (age 65+) in Europe and Japan" during the period 1960-2008. We compare the countries Sweden, Germany, Italy, Japan and China. We see that Japan in 1960 starts with the lowest percentage values for age 65+ and then have a fast negative development to much higher rates of elderly people and at the same time a lower percentages of younger people (age 0-14). In 1988, Sweden is the leading country for age 65+ (click on button 2), while in 2008 Japan, Italy and Germany represents the countries with highest elderly population. In these 50 years, Nigeria has not changed much (button 4).

Programme for International Student Assessment PISA dynamic document

2011-01-20T06:25:00.000-08:00

PISA, the Programme for International Student Assessment, which evaluates the quality, equity and efficiency of school systems in some 70 countries that, together, make up nineteenths of the world economy. PISA represents a commitment by governments to monitor the outcomes of education systems regularly within an internationally agreed framework and it provides a basis for international collaboration in defining and implementing educational policies. The results from the 2009 PISA assessment reveal wide differences in educational outcomes across countries. The education systems that have been able to secure strong and equitable learning outcomes, and to mobilise rapid improvements, show others what is possible to achieve.

Figure: This visualization allows you to interactively investigate mean scores for educational performance in your country for Reading, Mathematics and Science. Select a country with mouse click. The country is highlighted in both views. You can select more than country simultaneously by pressing CTR button at the same time. The (?) icons give you more information how to navigate these two graphs.

Top-performing countries or economies in reading literacy include Hong Kong-China (with a mean score of 533), Singapore (526), Canada (524), New Zealand (521), Japan (520) and Australia (515). The Netherlands (508), Belgium (506), Norway (503), Estonia (501), Switzerland (501), Poland (500), Iceland (500) and Liechtenstein (499) also perform above the OECD mean score of 494, while the United States, Sweden, Germany, Ireland, France, Denmark, the United Kingdom, Hungary, Portugal, and partner economy Chinese Taipei have scores close to the OECD mean.

OECD countries with Distribution Histogram for OECD TL2 Regions

2010-11-25T07:36:00.001-08:00

Åldrande Befolkning i flera Svenska Regioner

2010-11-18T00:50:00.001-08:00

I hela Västeuropa ökar sedan länge andelen äldre i befolkningen. Sverige har redan haft en kraftig expansion av gruppen 65 år och äldre och framför oss har vi en ny expansion som kommer att hålla i sig fram till början av 2030-talet. Det är de stora kullarna på 1940-talet och senare 1960-talet som når pensionsåldrarna. De äldre kommer att utgöra en påtagligt större andel av befolkningen än i dag och befolkningens åldrande kommer att kunna spåras över nästan hela åldersskalan. Ett par år in på 2030-talet kommer pensionärerna, de som är 65 år och äldre, att utgöra en fjärdedel av landets befolkning. Samtidigt blir människor i arbetsföra åldrar relativt något färre och likaså andelen barn. Försörjningsbördan kommer därmed att öka.

Först ser vi Sverige i ett Europeiskt TL2 regionalt perspektiv. Övre Norrland, Sydsverige, Västsverige och Stockholm är markerade. Vi ser deras utveckling under åren 1990-2007. Stockholm visar en helt annan utveckling med sjunkande antal äldre population jämfört med t.ex. Sydsverige och Västsverige. I nästa snapshot ser vi Stockholm jämfört med utvecklingen för Berlin, London och Oslo. Både London och Oslo har en kraftigt minskande äldre befolkning med Berlin visar en helt motsatt utveckling. Både London och Stockholm visar en ökad andel population 15-64 år. Du kan markera en egen region och följa utvecklingen. I vårt sista snapshot jämför vi Norrland med några regioner i Europa som också har en kraftigt ökande andel äldre population som t.ex. Toscana, Sachsen och Galicia i Spanien. Du kan se på kartan var dessa regioner ligger.