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Shout outs to vozome

swoodie: hey vozome - drop me a line when you get in on wednesday? about 1 year ago

swoodie: c'est mignon bebe! about 1 year ago

Dmitry: Uh oh, your featured data set doesn't show up properly, we'll get this fixed. Sorry! about 1 year ago

Dmitry: Hey vozome, cool photo. Make yourself comfortable at Swivel! about 1 year ago

vozome: aloha about 1 year ago

About Me

Featured Graphs

Life expectancy and GNI per capita in OECD countries, 2003

This graph compares life expectancy and the GNI per capita of OECD countries in 2003.

Featured Data Sets

Standardised unemployment rates

Most OECD countries publish unemployment rates that are based on the numbers of persons who are registered as unemployed at government labour offices. Because they are available soon after the end of the month or quarter to which they refer, the numbers of registered unemployed are treated as the "headline” unemployment figures by many countries. However, the rules for registering at labour offices vary from country to country, so that unemployment statistics based on this source are not comparable between countries. The unemployment rates shown here use ILO Guidelines that provide common definitions of unemployment and of the labour force.

Definition

Unemployed persons are defined as those who report that they are without work, that they are available for work and that they have taken active steps to find work in the last four weeks. The ILO Guidelines specify what actions count as active steps to find work and these include answering vacancy notices, visiting factories, construction sites and other places of work, and placing advertisements in the press as well as registering with labour offices.

The unemployment rate is defined as the number of unemployed persons as a percentage of the civilian labour force, where the latter consists of the unemployed plus those in civilian employment, which are defined as persons who have worked for one hour or more in the last week.

When unemployment is high, some persons become discouraged and stop looking for work. They are then excluded from the labour force so that the unemployment rate may fall, or stop rising, even though there has been no underlying improvement in the labour market.

Comparability

All OECD countries use the ILO Guidelines for measuring unemployment, but the operational definitions used in national labour force surveys vary slightly in Iceland, Mexico and Turkey. Unemployment levels are also likely to be affected by changes in the survey design and/or the survey conduct, but unemployment rates are likely to be fairly consistent over time.

Long-term trends

In almost all countries, unemployment rates rose in the early part of the 1990s but have been falling since then. Falls have been particularly marked in Finland, Ireland, Spain and Sweden.

There is no obvious pattern in the differences in unemployment rates for men and women. Unemployment rates for women are usually higher than for men, but in several countries unemployment rates for women are lower – Canada, Hungary, Korea, Sweden and the United Kingdom, for example. This is also true in Japan for the recent years. Part of the reason may be that women are more easily discouraged than men and so withdraw in larger numbers from the labour force when unemployment rises.

The charts shows unemployment rates averaged over the last decade. As regards total unemployment rates, countries can be divided into three groups: a low unemployment group with rates below 5% (Luxembourg to Japan); a middle group with unemployment rates between 5% and 8.5% (United States to Germany); and a high unemployment group with average rates of 10% and above (Italy to the Slovak Republic).

Source

OECD (2005), Main Economic Indicators, OECD, Paris.

Futher information

Analytical publications

OECD (2005), Society at a Glance: OECD Social Indicators, OECD, Paris.

Statistical publications

OECD (2004), Quarterly Labour Force Statistics, OECD, Paris.
OECD (2005), OECD Employment Outlook, OECD, Paris.

Online databases

Employment Statistics.

Web sites

OECD Employment Policy, www.oecd.org/els/employment.
OECD Labour Statistics Database, www.oecd.org/statistics/labour.

Recent Comments

Sarkozy wins French
election..

sara: There was also 16.21% of people that didn't vote - according to the Minister of the Interior. But I removed that for the sake of the pie chart. (about 1 year ago)

vozome: 84% turnout is high enough, but it has been much higher in the past. in 88, it had been marginally higher. in 81, it had been 85.9%, and in 74, 87.3% !! in 2002, however, this was because turnout was in the low 70% in the 1st round that le pen, with a very determined voter base, was able to qualify for the 2nd round. (about 1 year ago)

GHits by Gorilla
Weight..

: If you are looking to buy cell phone and service, check out the prices on: http://www.buycellphonesnow.con (about 1 year ago)

vozome: I never heard the expression, but an 800-pound gorilla (let alone a 1300-pound one) would be morbidly obese. (about 1 year ago)

The Mystery of
French Social Kiss..

              brian:
              great data, Isabel.  We're here at the OECD office doing a demo.  But all we're talking about is kisses now.  :)
              
                (about 1 year ago)
              
              vozome:
              Come on IsabelG, 4 kisses in Britanny!! you'd be lucky if you get 1! 
              
                (about 1 year ago)
              
              IsabelG:
              In "Perdu de vue", a book by Thomas Lélu published in 2006, on of the characters says:
«In Montpellier, people start kissing on the left cheek, but the number of bises is going down: it used to be three but now it's only two. [..] In Brittany, my family used to kiss four times in 1989. And from four they are going down to two, there is thus a decline of the bise on a national scale. What a waste! » 

So maybe my data is too old. Any volunteers to go out there and collect accurate data on French kissing habits?

                (about 1 year ago)