Pesticide sales (aei_fm_salpest09)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Istat -  Italian National Institute of Statistics

Time Dimension: 2016-A0

Data Provider: IT1

Data Flow: AEI_ESQRS_A

Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)

For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT


1. Contact Top
1.1. Contact organisation Istat -  Italian National Institute of Statistics
1.2. Contact organisation unit ATC - Division for agricultural statistics and surveys
1.5. Contact mail address Viale Oceano Pacifico, 171 00144 Rome Italy

2. Statistical presentation Top
2.1. Data description

The survey takes into consideration all enterprises which distribute pesticides in Italy, for each province,  either under their own brand or foreign brands. The main variables surveyed are:  quantity of pesticide product and quantity of the active substances (produced in Italy or imported)  distributed with own trademark for only agricultural use, for each province.  When the pesticides are imported, the enterprise can state the pesticides distributed with other trademark (if they haven’t their appropriate trademark).
The reference period is calendar year (2016).

The term pesticide indicates those products containing or comprised of substances intended for various uses, including protecting plants or plant products from harmful organisms, destroying unwanted plants or parts of plants. The term active substances refers to all substances which exert a general or specific action against harmful organisms or on plants or parts of them.

Phenomena investigated are:  - sale of pesticides, per category (fungicide, insecticide and acaricides, herbicide, biological, other and insect traps), toxicity class and province (Nuts III level); - sale of the active substances authorised for the market.

Biological products and traps were introduced in the survey, in order to complete the survey

2.2. Classification system

Annex III of the Regulation 1185/2009 and revisions

2.3. Coverage - sector

Chemical industry 

2.4. Statistical concepts and definitions

Geographic distribution of quantity sold

2.5. Statistical unit
Type of products and active substances contained in pesticides for each province (NUT3)
2.6. Statistical population
Enterprises which distribute pesticides with their own brand
2.7. Reference area
Italy - The whole national territory
(data required at NUTS 3 level)
2.8. Coverage - Time
The process is documented since: 1998
2.9. Base period
Not applicable

3. Statistical processing Top
3.1. Source data
Pesticides for each enterprise which distribute pesticides in Italy for agricultural use,  either under their own brand or foreign brands.
3.2. Frequency of data collection
Frequency is annual. Reference period is calendar year.
3.3. Data collection
Self-administered data collection - via electronic transmission through the upload of excel file on Istat web site (INDATA through Business Portal)
3.4. Data validation

Data are validated to the following actions:
Coherence control with data from other surveys or sources (the results are compared with similar results obtained in other processes of the Institute, or with datafrom external sources, for example specialized magazines)

3.5. Data compilation

After the collection of the questionnaires, there is a first phase of  check: 
If it is possible, the questionnaires of an enterprise are compared with data of the previous year.
If an error occurs, the enterprise is contacted by  phone to confirm or not the new data.

The phase of editing data is done comparing data at level of each active substance. Imputation of missing value (total non response, or partial non resposonse) are carried out with metodological statistical model.   

Interactive correction of errors on the base of deterministic rules or on the base of data stemming from previous survey's edition.

3.6. Adjustment
Not applicable

4. Quality management Top
4.1. Quality assurance
Since the 90s Istat adopted a systematic approach to ensure quality in both statistical information and service to the community. For this purpose the Institute has defined a quality policy providing itself with appropriate tools as well as management changes to carry it out. Istat quality policy is coherent with the European framework developed by Eurostat, taking up its main principles and definitions. In 2005, the European Statistics Code of Practice (revised in 2011 and in 2017) established the principles to follow in order to ensure and strengthen both accountability and governance of the European Statistical System and the National Statistical Systems inside it.
Essential points of Istat quality policy are:
  • Process quality: consisting in the production of accurate statistical information efficiently and effectively;
  • Product quality: consisting in the dissemination of high-quality timely statistical data which are relevant for the users, also the potential ones;
  • Documentation: consisting in the storage and availability of information necessary not only for a proper use of data but also to ensure transparency in all the production activities of statistical data;
  • Respect for respondents: consisting in the reduction of response burden and in the respect of respondent's privacy;
  • Strengthening of statistical literacy: consisting in promoting a proper use of statistical information in policy-making to better support decisions and policies;
  • Users' orientation: consisting in making statistical information easily accessible and understandable and in satisfying user needs as much as possible.
For details:
4.2. Quality management - assessment

Surveys on sales have been conducted in Istat for several years and the content is very detailed in terms of information on pesticides and in terms of geographical detail.

The survey is included in the National Statistical Programme. It is a census based survey conducted every year.

5. Relevance Top
5.1. Relevance - User Needs

Main data users: Ministry of Agriculture, Ministry of Heath, The Institute for Environmental Protection and Research, ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale). For example, ISPRA uses the data to produce the national report on the presence of pesticides in water that provides information on on the risks due ti the presence of these substances in water.

5.2. Relevance - User Satisfaction
We do not measure user satisfaction for this survey
5.3. Completeness
Not applicable
5.3.1. Data completeness - rate
Not applicable

6. Accuracy and reliability Top
6.1. Accuracy - overall
Quite satisfactory
6.2. Sampling error

Not applicable

6.2.1. Sampling error - indicators
Not applicable
6.3. Non-sampling error

The survey adopts several quality control actions during the different stages of the process to prevent, monitoring and reduce the effect of  non-sampling errors on estimates.
Editing and imputation procedures are used to correct item nonresponse and measurement errors.

6.3.1. Coverage error

The list of enterprises for the Survey is managed by Istat (Italian National Statistical Institute)

The out of scope rate is:

Edition Out of Scope Rate %
2016 11.54 Over-coverage - rate
ESS standard over coverage rate:
edition 2016 = 11,54% Common units - proportion

Not applicable

6.3.2. Measurement error

Not applicable

6.3.3. Non response error

The quality actions to control unit nonresponse are:

Survey presentation letter signed by Istat President
Collecting identification codes of nonrespondent units
Telephone follow-ups
Collecting nonresponse causes during data collection
Ad hoc analysis to evaluate effects of unit nonresponse
Special care in writing clear instructions to fill-in questionnaires
Follow-ups by e-mail
Written description of survey objectives
Establishing a toll free line or telephone number for further explanations
Guarantees on statistical confidentiality Unit non-response - rate
ESS standard unit nonresponse rate:
edition 2016 = 15,94% alpha= 1.00 Item non-response - rate

For the variable "total quantity of pesticides" it is almost 0

6.3.4. Processing error

The phase of editing data is done comparing at level of each active substances; imputation of errors and missing value (unit non response or item non response) are carried out with methodological statistical model. Imputation - rate

The imputation rate is:

Unit - Variable Edition Imputation rate (%)
Type of plant protection product - quantity of pesticides 2016 0.64
6.3.5. Model assumption error

Not applicable

6.4. Seasonal adjustment

Not applicable

6.5. Data revision - policy

Not applicable

6.6. Data revision - practice

Not applicable

6.6.1. Data revision - average size

Not applicable

7. Timeliness and punctuality Top
7.1. Timeliness

Data are disseminated at national level yearly

Timeliness - days 345

7.1.1. Time lag - first result

Not applicable

7.1.2. Time lag - final result
Edition 2016 = 345 days
7.2. Punctuality
Istat internal dissemination plan is achieved.
7.2.1. Punctuality - delivery and publication
0 days (as we do not have any press release)

8. Coherence and comparability Top
8.1. Comparability - geographical

Standard definitions are adopted to achieve comparability within the ESS

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable

8.2. Comparability - over time

Pesticides statistics are produced since 1998 and are available on the web site since 2003

8.2.1. Length of comparable time series

Length of comparable time series:
Variable Length Note
plant protection products
active substances in plant protection products
from 1998 to today available on the web site since 2003 
8.3. Coherence - cross domain
Comparable statistics stemming from other data sources or statistical domains are not available
8.4. Coherence - sub annual and annual statistics

Not applicable

8.5. Coherence - National Accounts

Not applicable

8.6. Coherence - internal

Internal coherence is assured by means of controls during the processing phases

9. Accessibility and clarity Top
9.1. Dissemination format - News release

La distribuzione per uso agricolo dei prodotti fitosanitari. Anno 2008
La distribuzione per uso agricolo dei prodotti fitosanitari. Anno 2012
La distribuzione per uso agricolo dei prodotti fitosanitari. Anno 2010
Distribution of fertilizers and plant protection products for agricultural use. Year 2013
La distribuzione per uso agricolo dei prodotti fitosanitari. Anno 2011
Distribution of plant protection products for agricultural use. Year 2009

9.2. Dissemination format - Publications

Annuario statistico italiano 2017
Annuario statistico italiano 2016
Annuario statistico italiano 2015
Annuario statistico italiano 2014
Annuario statistico italiano 2013
Noi Italia 2014: il volume
Noi Italia 2013: il volume
Archivio completo dell'Annuario statistico italiano(2012)

9.3. Dissemination format - online database
Information System: Agricultural and livestock

9.3.1. Data tables - consultations
9.4. Dissemination format - microdata access
Bodies belonging to the Italian Statistical System can apply for microdata access
9.5. Dissemination format - other

no references

9.6. Documentation on methodology

Information on the survey are available on istat web site

9.7. Quality management - documentation
The Istat Information system on quality of statistical production processes SIQual contains information on the execution on Istat statistical production processes and on activities developed to guarantee quality of the produced statistical information.
For Details:

9.7.1. Metadata completeness - rate
Not applicable
9.7.2. Metadata - consultations
Not applicable

10. Cost and Burden Top
Approximately 50,000 euros

11. Confidentiality Top
11.1. Confidentiality - policy

Several national legal acts guarantee the confidentiality of data requested for statistical purposes. According to art. 9, paragraph 1 of the Legislative Decree n. 322 of 1989, personal data cannot be disseminated but in aggregated form, in order to make it impossible to make any reference to identifiable individuals. They can only be used for statistical purposes. Legislative Decree n. 322 of 1989, art. 6 bis and Legislative Decree n. 196 of 2003 Annex A3 (Code of conduct and professional practice applying to the processing of personal data for statistical and scientific research purposes within the framework of the national statistical system), art. 8, provide that the exchange of personal data within the National Statistical System (Sistan) is possible if it is necessary to fulfil requirements provided by the National Statistical Programme or to allow the pursuit of institutional purposes. The supply of the identification data of statistical units is allowed within the framework of entities included in the National Statistical System if the requesting party declares that no identical statistical result can be obtained otherwise . Regarding subjects who do not belong to Sistan, Article. 7 of the Code of conduct (Decree n. 196/2003, Annex A3) states that it is possible to transmit individual data files without direct identifiers within the framework of specific laboratories set up by entities included in the National Statistical System, under certain conditions and only if that the data are protected by the application of different statistical methods that make it highly unlikely the identification of statistical units.

11.2. Confidentiality - data treatment

During the phase of data treatment, the confidentality is assured by different storage of two different datasets: one contain the microdata with identification code of enterprise, and second dataset contain the  identification code and the address of enterprise.
Threshold rule applied to data transmitted to Eurostat: active substances distributed by less then 3 enterprises are flagged as confidential.

12. Comment Top
No comment

Related metadata Top

Annexes Top