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Why Young People Are Part-Time Employed in Europe

Education is the main reason for part-time employment among the youth in Europe with 41.4% of people aged 15-29 years working part time due to this reason. Denmark is the leader in this regard as 78.4% of its young population is employed part time because of education and it keeps its leading position through the years.

Moreover, this share increases to 84.1% when regarding younger part of the cohort under consideration, namely, people aged 15-24.

The second most important reason for the part-time employment is absence of full-time job where Italy is on the top: this reason is responsible for about four fifths of part-time employment among the youths. The further consideration of statistics by age groups and reasons for part-time employment leads to some interesting findings. So, there is strong negative relationship between share of people aged 15-24 working part-time because of education and share of people aged 25-29 working part time because of absence of full-time job. Specifically, in average, each additional percent of the former cohort results in 0.7% decrease of the latter one. There again, Denmark, mentioned above for its leading position in the ranking by share of the youths employed part time due to education, is among the latest countries in the ranking by share of people aged 25-29 employed part-time because of absence of full-time job.

On the contrary, Romania, where only 9.8% of people aged 15-24 work part-time because of education, 75.8% of people aged 25-29 work part-time because of absence full-time job. Another interesting finding derived from the analysis of differences between sexes is the following. In countries where more males work part-time because of absence of full-time job, less woman work part time because of childcare. Thus, in Austria where childcare is the reason for about 40% of part-time employment among women aged 25-29 only 16.7% of males work part time because of absence of full-time job. In Spain there is reverse situation: childcare accounts for only 6.6% of part-time employed women while absence of full-time job accounts for 80% of part-time employed men. This probably means that when more male population has well paid full-time job more women has the chance to take care after children.

http://blog.knoema.com/2014/07/why-young-people-are-part-time-employed.html

#dataviz   #Europe   #labor   #education   #datavisualization   
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The Good Enough to Eat Index

Global food system is far from perfect: even though there is enough food for everyone on Earth ones go to bed hungry every night while others suffer from obesity and overweight. What is wrong with our food system which cannot provide people with enough of the right food and what could be done to treat these failings?

"The Good Enough to Eat Index" is the effort of OXFAM - international organization tackling poverty across the world – aimed exactly at addressing these issues. Capturing data from 8 different established sources for 125 countries, the Food Index depicts current situation in 4 main spheres of food system by means of 8 standardized indicators (2 indicators per each sphere).

These spheres are: sufficiency of food ("Enough to Eat" sub index), affordability of food ("Afford to Eat" sub index), quality of food (cognominal sub index) and impact of food on people's health ("Food for Health" sub index). Combined together, these sub-indices constitute the resulting food index giving an idea of overall quality of a country's food system. At the same time, consideration of index by components or indicators highlights some of the fields of critical concern and failures of both global and country-level food systems. Both the overall index and its components including indicators are standardized values ranging from 0 to 100 where 0 represents the best possible score and 100 is the worst possible score.

http://blog.knoema.com/2014/06/the-good-enough-to-eat-index.html

#dataviz   #vizoftheday   #datavisualization   #food   #foodsecurity  
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Economic & Population Growth After Christ

The question of ancient and pre-modern economic growth is of high interest among many researchers.

Angus Maddison, emeritus professor at the University of Groningen, made important contribution to this research field by providing the most comprehensive and distant (back to 1 AD) estimates of economic and population growth. Maddison spent fifty years to complete these estimates, and, as a result, it was created unique database containing time series for GDP, GDP per capita and population for the period 1-2008 AD covering 163 countries as well as the book "Contours of the World Economy, 1–2030 AD: Essays in Macro-Economic History" (Oxford: Oxford University Press, 2007) on its basis.

According to these estimates world population increased by 27 times, global GDP rose by 348 times and world-average GDP per capita grew by 13 times during the last 2000 years. One can say that the methods of estimating GDP and population for such distant periods are dubious and not clear. May be, but the research is pioneering and unique and, moreover, it created the basis for the further research in this field: initial Maddison database has already been revised and, hopefully, will being constantly revised in the future.

http://blog.knoema.com/2014/05/economic-population-growth-after-christ.html

#GDP   #population   #dataviz   #datavisualization  
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Sharing your content is now a bit easier

We have made some changes in how content is shared in Knoema and have taken this entire process to a completely new level. Quick sharing makes working in Knoema easier, better, and faster. And we bet you'll be surprised to learn about new features.

1. Share content straight from Dataset Viewer

If you want to share, let's say, an intermediate result of your content from Dataset Viewer it's not even necessary to save the work that has been done. When you generate a link using social bar on the left, a draft with the exact data selection gets saved as a snapshot captured at the moment of creation.

2. Share your private content with non-registered Knoema users

Now we allow you to share your private content even with those who are not registered in Knoema. All you need is to generate a unique link using social bar or via sharing options. This link would have an accesskey in it so anyone with this link would be able to review your content.

3. Share your content via email / social networks / social bar

Under sharing options we offer you to invite people via email or Facebook/Twitter/Google and grant them different access levels allowing them to read, edit, or even get full control over the content.
 
Or alternatively you can use a social bar on the left to generate a unique link or use your email client to spread the content among your email list.

We do believe that your content is worth sharing. And we also know that you will welcome these changes. Create, share, discuss data - we've made this process more easier and comfortable for you to enjoy your data-driven work.

http://blog.knoema.com/2014/05/sharing-your-content-is-now-bit-easier.html

#data   #share  
If you want to share, let's say, an intermediate result of your content from Dataset Viewer it's not even necessary to save the work that has been done. When you generate a link using social bar on the left, a draft with the exact data selection gets saved as a snapshot captured at the moment of ...
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Find data faster and easier with our improved search

Providing an ultimate data discovery tool for our users remains one of our primary objectives. We believe that Knoema can be a #1 destination for data and data-driven content on the Web.

We have collected more than 150M time series on various topics in a single place and provide a very convenient search engine on the top of a huge data repository.

And below you can find what kind of improvements we have added lately to our search to make your data discovery easier and faster.

1. Search results got highly visual

Explore search results in details instantly with interactive previews without any additional clicks - all previews are expanded and already opened.

Timeseries of the same topic with just one variant dimension get grouped into one line chart or a ranking for a better and more informative review. For example, if you are interested in data for electricity consumption in Japan, you will also get results for electricity concumption in other countries on a same ranking, but not on several separate graphs for Japan and others.

And finally, enjoy a truly responsive experience while browsing the ocean of data in Knoema with infinite scroll. Now you can explore even more content as it is loaded automatically without loosing time on pages preload.

2. Intelligent search filters

In addition to a set of standard filters like "Everything", "Datasets", "Pages", "Presentations" and "Data" we add a number of custom filters that appear in compliance with your query. They are all dynamic and appear according to existing data for specific queries. For example, if you search for data on "United States GDP", additional filters will be "United States of America" and "GDP".

Region filter is set by default so you need to turn it off to see results not only for the required region.

Data filter now contains additional subfilters like "Source" with a list of different sources, "Frequency" with an opportunity to choose annual, quarterly and monthly data and "Data Depth" with options of Any, Long series only and With forecast.

3. Autocorrection

It's hard to avoid spelling mistakes sometimes. Or you can type your query fast and put letters in a wrong order and miss one letter or another. But now it won't keep you from getting data in Knoema because we've added new fast spelling correction algorithm. And what is more important it will consider several alternatives for one misspelled result.

And finally, in comparison with the last search version search speed is way faster, which is a vital advantage in the online data discovery.
Try our improved search now to have a firsthand knowledge and enhance your data discovery. And don't forget to give us your feedback!

http://blog.knoema.com/2014/05/find-data-faster-and-easier-with-our.html

#data   #datadiscovery   #dataanalysis   #search   #searchengine  
Timeseries of the same topic with just one variant dimension get grouped into one line chart or a ranking for a better and more informative review. For example, if you are interested in data for electricity consumption in Japan, you will also get results for electricity concumption in other ...
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NEW BUSINESS : A Chart Showing Growth In Registration Of New Business Across The World

http://knoema.com/wpzqiyc/countries-with-new-business-registered

#worldbank  
#Knoema  
#UK
#India  
#Data  
#Infographics  
#treemaps  
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Working Life Expectancy in Europe

While unemployment rate as well as other standard indicators of economic activity focus on specific stages of person's life cycle, duration of working life indicator (DWL) or, in other words, working life expectancy, captures the entire life cycle of active and employed population.

Created with the purpose of monitoring progress made under the Europe 2020 employment strategy, this indicator shows the number of years a person aged 15 years is expected to be economically active in the labor market along his or her life.

Thus, Iceland is the leader among European countries in the duration of working life: here people are expected to spend 44 years on economic activities or a bit more than the half of life (82 years in 2011), expressed through life expectancy at birth. Long active life is actually specific for major North European countries: Sweden, Netherlands, Norway and Denmark are all in top-10 countries by working life expectancy.

People in Southern states, such as Italy, Malta, Hungary, Croatia, are, on the contrary, expected to spend comparatively less time on working. So, in Italy, expected duration of working life is almost 3 times as less as the expected duration of the whole life (29 against 83 years).

Concerning differences in activity patterns between sexes, it is only Lithuania, where women are expected to have longer economically active life than men (though the difference is slight - only a half of year), while all the other European countries experience opposite tendency. However, this difference is gradually shrinking: only in 8 countries difference between males and females was increasing in average from 2000 to 2012. All the other nations including European Union as a whole demonstrate the tendency to level down difference between sexes in the duration of working life with the Spain as a leader, where the difference reduced by 7.3 years during the last decade.

All in all, duration of working life has increased in all European countries except Iceland and Romania through the period from 2000 to 2012. Well, till health allows to work more, as life expectancy and working life expectancy are positively related, there is no reason to stop as longer economically active life means more wealth for the population of the country.

Note: A.00-12 means average for the period 2000-2012 while C.00-12 means absolute change from 2000 to 2012. Difference (M-F) stands for absolute difference between values for males and females. List of data sources is presented at the bottom of the the page.

http://blog.knoema.com/2014/06/working-life-expectancy-in-europe.html

#dataviz   #datavisualizaion   #infographics   #Europe   #labor  
While unemployment rate as well as other standard indicators of economic activity focus on specific stages of person's life cycle, duration of working life indicator (DWL) or, in other words, working life expectancy, captures the entire life cycle of active and employed population.
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World Rankings

In order for the countries to perform sustainable development over times in all spheres of people's lives without imbalances adequate long-term strategic plans for the future are necessary to be elaborated.

Development strategies will be of true benefit only in case if they are based on robust and reliable statistical tools, allowing to conduct comparative analysis of country's performance in all key fields of human being and over time.

As of today, it is known lots of such tools most of which represent some kind of special indices measuring countries' performance in that or another field in comparison to the other countries. Since such indices are based on cross-country comparisons a lot of robust country-level statistical data is needed, which can only be obtained by large international organizations, such as the World Bank, United Nations, Economist Intelligence Unit, Freedom House, World Economic Forum, Transparency International and others.

They have developed a range of indices such as Human Development Index, Democracy Index, Knowledge Economy Index, Corruption Perceptions Index, Press Freedom Index and so on. Those of them, which are in open access, are available on our site and you can easily explore them through the page below by way of data or visualizations ready for analysis.

http://blog.knoema.com/2014/05/world-rankings.html

#dataviz   #rankings  
In order for the countries to perform sustainable development over times in all spheres of people's lives without imbalances adequate long-term strategic plans for the future are necessary to be elaborated. Development strategies will be of true benefit only in case if they are based on robust ...
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Networked Readiness Index

The Networked Readiness Index (NRI), developed by the World Economic Forum in the frame of Global Information Technology Report, which is considered as the most comprehensive and authoritative international assessment of its kind, depicts the current stage of progress made in the world towards leveraging ICT (Information and Communication Technologies) to boost productivity, economic growth, employment creation and, as a result, increasing the returns.

The key to such leveraging is focusing on a value which ICT brings to the economy and society. Rapid development of ICT, or, in other words, digitization, along with opportunities it creates for business is also distracting in some measure as it presents puzzling range of potential opportunities, all of which seem attractive. That is why it is keenly important to prudently and rigorously select opportunities of digitization in order to extract from them maximum value.

One more crucial thing which is needed to be done to achieve this goal is to bridge the digital divide - the divide between countries that are achieving positive economic and social impacts related to the use of ICTs and those that are not.

All these issues have defined multifaceted nature of the Networked Readiness Index: it embraces 4 dimensions of ICT - environment (political, regulatory and business environment), ICT readiness (infrastructure, affordability and skills), ICT usage (by individuals, business and government) as well as impact of ICT (both economic and social). Such comprehensive nature on index, along with its broad geographical coverage (148 countries accounting for 98% of world GDP) makes it useful instrument which provides policymakers, business leaders, and concerned citizens with valuable insights into current market conditions and the state of connectivity across the world.

http://blog.knoema.com/2014/05/networked-readiness-index.html

#dataviz   #datavisualization   #telecommunication  

 
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Water

One of the Millennium Development Goals is to ensure environmental sustainability (Goal 7) which includes, among others, target to "halve, by 2015, the proportion of people without sustainable access to safe drinking water and basic sanitation" (Target 7.C).

Concerning access to safe drinking water, it actual value is 1% over the target value as of 2011. Specifically, 89% of the world's population is served with improved water representing the increase by 37% since 2000.

What for sanitation, it would be harder to meet a target for improved sanitation coverage to be equal 78% by the end of 2015, since there is arrearage from the target by 8%, as of 2011. Namely, 64% of global population had improved sanitation facilities in 2011, so about 2.5 billion people still use unimproved sanitation.

Out of this 2.5 billion people, 1 billion uses open defecation: decreased by 19% since 1990, this figure still represents nearly 15% of the world's population.

Water management is also important in achieving the target of reducing biodiversity loss, that assumes monitoring such indicators as renewable internal freshwater resources per capita, annual freshwater withdrawals, marine protected areas. Access these and many other indicators on the Water topic through ready-for-use visualizations and datasets presented below.

http://blog.knoema.com/2014/05/water.html

#dataviz     #datavisualization   #water  
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Global Firepower

Power Index, assessed by the Global Firepower (GFP) for 106 world countries, allows for broad comparative cross-country analysis of relative military strengths.

The overall score (where 0 represents the perfect value, which is actually unachievable) is calculated on the basis of 43 indicators aggregated into 8 pillars of war-making capabilities (except nuclear potential), namely: man power, land systems, air power, naval power, resources (petroleum) as well as logistical, financial and geographic factors. Indicators used in the calculation of the resulting index are taken from the official sources if publicly available or estimated otherwise.

It should be noted, that Power Index, not endorsed by any governing or military organizations, is created solely for historical and entertainment purposes.

http://blog.knoema.com/2014/05/global-firepower.html

#military #firepower #dataviz
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Air Traffic Between Airports of Germany and Their Partner Airports

Dashboard presents detailed data on air transport by reporting country (namely, Germany) and routes which includes: passengers on board (arrivals, departures and total), passengers carried (arrivals, departures and total), passenger commercial air flights (arrival, departures and total) and seats available (arrival, departures and total).

The data is presented at monthly, quarterly and annual level.

Passengers on board are all passengers on board of the aircraft upon landing at the reporting airport or at taking off from the reporting airport. All revenue and non-revenue passengers on board of an aircraft during a flight stage. Includes direct transit passengers (counted at arrivals and departures).

Passengers carried are all passengers on a particular flight (with one flight number) counted once only and not repeatedly on each individual stage of that flight. All revenue and non-revenue passengers whose journey begins or terminates at the reporting airport and transfer passengers joining or leaving the flight at the reporting airport. Excludes direct transit passengers.

http://blog.knoema.com/2014/05/air-traffic-between-airports-of-germany.html

#dataviz   #datavisualization   #vizoftheday   #transportation  
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Have them in circles
30 people
José Antonio Montaño Jordán's profile photo
Robert Alford's profile photo
Kaizer Billimoria's profile photo
ASIA WKF's profile photo
Harutyun Azgaldyan's profile photo
Samir Banbouk's profile photo
Mohamed Amine JALLOULI's profile photo
Viraj Pradhan's profile photo
Max Kvt's profile photo
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Introduction
We at Knoema believe that we are working on building a unique knowledge platform, that will offer opportunity for users to contribute and collaborate, allowing them to share their views and analyze problems.