Leakage Prevention &Nbsp, CPI And Other Data Release Time Adjustment

To avoid data leakage during the period of data release, the National Bureau of statistics will adjust the release date of this data from this month.

It is reported that regardless of monthly, quarterly or annual statistical data release time is 2-3 days ahead of schedule.

Among them, CPI is released within 24 hours after data production.

The National Bureau of Statistics said that the time of issuing data in advance since July is due to the increasing demand for statistical information by the public, and the timely release of data.

At the same time, it is also to minimize the risk of being leaked before the release of statistical data.

The National Bureau of Statistics said it would strengthen data interpretation, and strictly check and reduce the scope of data submission and exchange before data release. It also reduced the data from production to pre publication secret personnel, and further tightened the procedures for reporting and exchanging confidential data.

Cao Jianhai, a researcher at the Industrial Economics Institute of the Chinese Academy of Social Sciences, said the most core of the statistical data was the scientificity of the statistical methods, the accuracy of the data and the quick release of the data.

The sooner the data is released, the better.

If the old way is used, after the data is produced, the spokesman will be ready for several days to release it.

From the perspective of speed, the new way of publishing is better.

He also pointed out that any information should be interpreted and responded positively to public queries after publication.

Now the public opinion is very loud about the Statistics Bureau's data. The adjusted way reduces the suspicion that the press conference has avoided media queries.

Focus questions and answers

1 reduce leakage risk as far as possible

Q: why do we need to adjust the way of issuing statistical data?

The National Bureau of Statistics: there are three main reasons for this adjustment.

First, in order to meet the needs of statistics from all walks of life faster and better.

The two is to minimize the number of data being released before being released.

Three, the reform of statistical system and methods, and the development of information and networking have created conditions for further advancing the release time of statistical data and improving the way of publication.

2 data release time is 2-3 days in advance.

Q: what aspects have been adjusted in this way?

National Statistical Office: the core of this improvement is to shorten the time from production to publication as much as possible.

On the whole, the release date of the statistics is 2-3 days in advance regardless of the monthly, quarterly or annual statistics.

Specifically,

First, monthly statistical data release was changed from the previous press conference to the sub item of network.

Industrial production prices, consumer prices and other major monthly statistical indicators, and strive to be released within 24 hours after data production.

Second, quarterly and annual data release, combined with press release and Internet release.

Industrial producer prices and consumer prices advance to the quarterly and annual press conference; other indicators are immediately released after production.

Third, strengthen data interpretation.

We should make full use of all kinds of new media, such as the Internet, to strengthen the interpretation of statistical data. If necessary, we will hold a news media ventilation meeting and strengthen communication.

3 cancellation of monthly

Q: before the monthly news conference held in 2009, the National Bureau of statistics also used monthly data to publish data on official websites.

What is the difference between this improvement and the original way? Why cancel the monthly conference?

National Bureau of Statistics: from time to time, the release time is substantially ahead.

The monthly release before 2009, the indicators from 11 to the beginning of the month, each working day was released, postponed in response to statutory holidays.

Now, the release time of indicators is basically fixed around 9 days per month, and excludes holiday factors. It will be released as usual on Saturday and Sunday.

Since August 2009, the National Bureau of statistics has launched a monthly press conference.

As the monthly press conference is centralized, the organization of the press conference will take some time, so the time interval between data production and publication will be extended to a certain extent, and the risk of leakage before data release will be increased.

In order to reduce this risk, we improved the way of publishing.

review

Data frequency leak 5 people were placed on file

The National Bureau of Statistics said yesterday that the main reason for the adjustment was to reduce the risk of being leaked before the release of statistical data.

Previously, core macroeconomic data were frequently leaked before publication.

The National Bureau of statistics has released a series of China's macro data before the 11 day of the month, but in recent years, the core data has been uploaded in the media before the official disclosure of data.

Reuters first predicted in April 11, 2008 that China's CPI was 8.3% in March, which is in good agreement with official data released by the statistics bureau 5 days later.

After that, the price index and so on were unmanageable.

National Bureau of Statistics spokesman Sheng Sheng Yun said in June 14th that the Bureau of statistics was strengthening its secrecy work. A staff member of the office of the National Bureau of statistics was taken away by relevant departments and was under judicial investigation, and the reason for the investigation was suspected of divulging macroeconomic data in advance.

Subsequently, Zhang Huawei, director of the Beijing Municipal People's Procuratorate anti malfeasance Bureau, told the press conference on June 20th that the procuratorial organ had placed a case on the 5 people involved in the leakage of the national macroeconomic data.