Milk and milk products (apro_mk)

National Reference Metadata in ESS Standard for Milk statistics Quality Report Structure (esqrsmk)

Compiling agency: Institute of Statistics - INSTAT


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: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Institute of Statistics - INSTAT
1.2. Contact organisation unit

Animal Production and Fisheries Statistical Unit
1.5. Contact mail address

Institute of Statistics - Tirana
St. Vllazën Huta, Building 35, Entrance 1, Tirana, ZIP Code 1017


2. Statistical presentation Top

Regarding changes in the methodological information since last year’s questionnaire, it remains the same. 

No changes have been made since the methodology followed remains the same.
2.1. Data description

The Milk and milk products survey is a statistical survey carried out at enterprises that collect and process milk in the territory of the Republic of Albania. The main objective of the annual milk survey is to provide complete information on the amount of milk collected (all types of milk) and dairy products. Information is also provided on the average fat and protein content in the collected milk.
2.2. Classification system

 The definitions are in accordance with Eurostat regulations and decisions: Commission Decision No 97/80/ EC, that defines which sets out the provisions for the implementation of Council Directive 96/16/ EC, on statistical surveys of milk and dairy products.

Other classification used in Milk Statistics and Dairy Products are: NACE Rev.2 - Statistical classification of economic activities
2.3. Coverage - sector

Statistical information covers data on enterprises operating in the field of milk collection and processing in NACE 10.51. Raising of dairy cattle in  NACE  01.41 and Raising of sheep and goats 01.45 by classification of economic activity NACE Rev.2
2.4. Statistical concepts and definitions

Milk statistics (annual) in Dairies are led by the concept of ‘national dairy’, i.e. the dairy sector is considered as a single process, which internal flows are not (intended to be) taken into account.

Use of raw milk is followed through production of its two main components, fat and protein content. Milk processed is thus accounted for as an aggregate of UWM (utilized whole milk, with the full content of fat and proteins) and USM (utilized skimmed milk, with the full content of proteins, without fat). As a process can produce skimmed milk further to the main (fat) product and, in such a case, USM can be negative. This is especially the case for cream and butter production

Manufactured quantities of dairy products. The data represent the sum of all dairy products produced during the reference year.

Drinking milk: is milk produced for consumption in packages of 2l or less/more. It includes raw milk, processed milk, semi-skimmed milk, skimmed milk.

Pasteurized Milk: Milk that has been exposed briefly to high temperatures to destroy microorganisms and prevent fermentation.

UHT Milk: Ultra-high temperature processing (UHT), ultra-heat treatment, or ultra-pasteurization above 135 °C (275 °F). 

Buttermilk is residual product (may be acid or acidified) of the processing of milk or cream into butter. 

Cream: a fat layer that it is formed naturally on the surface of milk. Obtained from the surface of milk to or extracted from milk by the process of centrifugation. The cream has a high fat content (typically over 10%). It includes direct consumer cream, which contains more or less than 29% of milk fat.

Acidified milk products include yoghurts, drinkable yoghurts, sour milk, acidified milk and other fermented products. 

Butter and other yellow-fat products are products with a milk fat content equal to 82% by weight of the product, maximum water content of 16% and maximum dry non-fat milk material content of 2%. 

Cheese shall be a fresh or matured, solid or semi-solid obtained by coagulating skimmed milk, semi skimmed milk, cream, whey cream, or buttermilk alone or in combination by the action of rennet or other suitable coagulating agents. 

Soft cheese: cheese in which the MFFB when refined is in general not less than 68 %. 

Semi-soft cheese: cheese in which the MFFB when refined is in general not less than 62 % and less than 68 %. 

Semi-hard cheese: cheese in which the MFFB when refined is in general not less than 55 % and less than 62 %.

Hard cheese: cheese in which the MFFB when refined is in general not less than 47 % and less than 55 %.

Fresh cheese: product obtained from sour milk from which most of the serum has been removed (e.g. by draining or pressing). Also includes curds (other than in powder form) containing up to 30 % by weight in the form of sugar and added fruits.

    - Includes fresh whey cheese (obtained by concentrating whey and adding milk or milk fat).


TABLES B and H (Dairy annual data)

Further information (Referring to the part 3 of the milk questionnaire)

Part A) AVAILABLE RESOURCES  
A.1 Imports of milk, cream and other milk products  
Are there purchases of raw milk by dairies from approved purchasers located in another country?  No
If Yes, are these purchases entered on the accounts with imports? (Table B, column B)  No
If you use data from external trade statistics, explain how you separate imports for the dairy industry from other imports. 
How do you deal with deliveries of intermediate products from a plant in one country to another plant in a different country but belonging to the same enterprise?  Other
If Other, specify: 

There are no cross-border delivering of intermediate products of the same enterprise in different plants.

 

Part B) USE (manufactured products)  
B.1 Main products (column 1 in the table B)  
Are there any links between the milk statistics surveys and the Prodcom surveys? (Council Regulation EEC N° 3924/94 of 19 December 1991 on the establishment of a Community survey of industrial production OJ L374, 31.12.1991, p.1.) Yes
If yes, are both surveys managed by the same body?  Yes
B.2 Double counting  
B.2.1 In dairies  
To avoid double counting, on which variables does the survey focus?  On processed products (DELIVERY of production)
Comments 
B.2.2 Cheese – processed cheese  
Do you conduct a specific survey covering the raw materials used to make processed cheese? (cheese, butter, cream, other milk products)  No
Are these raw materials deducted from or included in the data in column 1 of Table B?  Deducted
B.4 Calculation of fat inputs  
How are the fat inputs in Table B calculated?  as INPUT (i.e. on the basis of the raw materials used in manufacturing)
Certain States may use both methods (self-monitoring): specify 
B.5 Proteins (Table H)  
What is your method of measuring or estimating proteins?  as INPUT (i.e. on the basis of the raw materials used in manufacturing)
Any explanations 


TABLE C (Farms annual data)

Collecting the basic information (Referring to the part 2 of the milk questionnaire)

B) Agricultural holdings (farms)  
B.6 Cows' milk  
Excluding milk directly suckled by calves, is all the milk from milking (including colostrum) that is used as animal feed (in buckets or by other means) included in the sum of available milk?  Yes
2.5. Statistical unit

The statistical unit observed is the Dairy Enterprise.

Dairy enterprises -- undertakings of two types:

• Collection centres collect milk or cream and transfer it in whole or in part to other enterprises without any processing. They are often defined as referred to in Article 2(2) of Council Directive 96/16/EC.

• Dairies which purchase milk or milk products from agricultural holdings or collection centres with a view to transforming them into milk products. They are often defined as referred to in Article 2(1) of Council Directive 96/16/EC.

 
2.6. Statistical population

Milk and dairy product statistics include all enterprises active in Albania, of all legal forms, from the Statistical Register of Enterprises (closed year), which collect and process milk by NACE Rev.2 economic activity, respectively at NACE 01.41, 01.45 and 10.51.
2.7. Reference area

Milk and Dairy Production covers the whole territory of Albania.
2.8. Coverage - Time

Statistical data on Milk and Dairy Products date back to 2014
2.9. Base period

Not applicable.


3. Statistical processing Top
3.1. Source data

TABLE A (Dairy monthly data), TABLES B and H (Dairy annual data)

Collecting the basic information (Referring to the part 2 of the milk questionnaire)

A) From Dairies  
A.1 General characteristics  
Number of dairy companies present on the 1 January (reference year) (excluding centres or companies which only collect) 

The number of dairy companies/enterprises on 1 January 2023 is 454.
Number of collection centres or companies (as defined in Article 2 (2) of Directive 96/16/EC) 

Number of collection centres is 10
A.2 Origin of the listing (of survey units) used for monthly and annual surveys (Tables A and B)  
What is the origin of the listing used?  Extract from the national business register
Listing belonging to professional bodies
If Other, specify sources 
A.3 How often is the listing updated? (Tables A and B)  
Do you update the listing used  Monthly
Annual
A.4 Monthly questionnaires (Dairies: Table A)  
Number of survey units concerned  Restricted from publication
Proportion of statistical population surveyed by this sample (%)  Restricted from publication
Do you use supplementary sources of information?  No
If Yes, which? 
A.5 Annual questionnaires (Dairies: Tables B and H) 
Number of survey units concerned 

The annual survey is exhaustive (400 dairy companies).

 
Do you use supplementary sources of information?  Yes
If Yes, which? 

For the compilation of dairy statistics supplemenary data are obtained fro administratives sources (Ministry of Agriculture and Rural Development) which conduct Agro-industry survey in order to compare the statistcal data produced.


TABLES B and H (Dairy annual data)

Further information (Referring to the part 3 of the milk questionnaire)

Part A) AVAILABLE RESOURCES  
A.1 Imports of milk, cream and other milk products  
Do you use the data obtained directly from dairies to record cross-border trade?  No
If Yes 
If Other sources, specify 

Results of the Statistics Sector in MARD on purchased quantity of cow's milk and cream collected from the farms and, for data validation, results of INSTAT: data on produced milk products – on monthly basis (pursuant to the Nomenclature of industrial products in accordance with the Classification of Activities) and on annual basis (PRODCOM).
Do you use the data from external trade statistics?  Yes

 

Part B) USE (manufactured products)  
B.4 Calculation of fat inputs  
Do you use data from dairies as a source of information?  Yes
If not, what source of information is used? 

NA


TABLES C and I (Farms annual data)

Collecting the basic information (Referring to the part 2 of the milk questionnaire)

B) Agricultural holdings (Farms)  
Number of agricultural holdings (farms) concerned on the 1 January (reference year) 

Currently INSTAT is not using the data obtanied from the Annual Agricultural Survey for the production and use of milk in farms. The administrative data obtained from Ministry of Agriculture and Rural Development rrlated the production of milk in farms is published while the compilation of Table C is done as a test activity undr the IPA multibeneficciary with the aim to be implemented in the future when official data will be transited from the use of administrative toward survey based data.
B.1 Existence of a regular survey of the production and use of milk on the farm (Table C)  
Is there a regular survey of the production and use of milk on the farm?  Restricted from publication
B.4 In case of a regular survey of the production and use of milk on the farm, use of supplementary sources of information (Table C)  
Do you use supplementary sources of information?  No
If Yes, which? 
B.6 Regional data - Evaluation of regional production (Table I)  
Do data exist at source?  Yes
Are data calculated a postériori?  Yes
If the data are calculated, which is the method used?  Other
If Other, specify 

INSTAT during the year 2023, has transmitted to Eurostat for the first time regional data on production of cow's milk for the time series 2010 – 2022.

Data are obtained from the Ministry of Agruculture and Rural Development (administrative).

 

 
3.2. Frequency of data collection

Milk and Dairy Products data are collected on annual basis. The process of data collection is carried out over a month, from February to March, throughout the country.
3.3. Data collection

General (Referring to the part 1 of the milk questionnaire)

Does any other body play a part in compiling milk statistics?  Yes
If yes, give the name and details of the body. 

Ministry of Agriculture and Rural Development


TABLE A (Dairy monthly data), TABLES B and H (Dairy annual data)

Collecting the basic information (Referring to the part 2 of the milk questionnaire)

A) From Dairies  
A.4 Monthly questionnaires (Dairies: Table A)  
Survey method  By enumerators
If Other, specify means 
A.5 Annual questionnaires (Dairies: Tables B and H)  
Survey method  By enumerators
If Other, specify mean


TABLE C (Farms annual data)

Collecting the basic information (Referring to the part 2 of the milk questionnaire)

B) Agricultural holdings (Farms)  
B.2 If there is a regular survey of the production and use of milk on the farm, detail procedures.  
Survey method 
If Other, specify means 
Description of survey methodology 
3.4. Data validation

In terms of data validation, data editing procedures generally refer to micro level or otherwise enterprise level editing.


1. Data editing in data entry program. 

  • Control of incoming questionnaires, Completeness checks, valid values checks, range checks, logical control of the questionnaire. The number of incoming questionnaires should be equal with the number of distributed questionnaires in the prefectures.
  • Individual checks are done for the cases of refusal and no contacts.
  • The answered active enterprises are checked for coherence of data given in different sessions of questionnaire.


2. Control of some questions through information that can be found from individual contact of enterprise.
3.5. Data compilation

TABLES B and H (Dairy annual data)

Further information (Referring to the part 3 of the milk questionnaire)

Part B) USE (manufactured products) 

B.3 Calculation of whole/skimmed milk inputs 

How are the milk inputs in Table B calculated for the following products?
11-12 liquid milk and buttermilk Direct survey
13 creams Direct survey
14-15-16 other fresh products (acidified milks, milk-based drinks, jellied milks, etc.) Direct survey
21 concentrated milk Direct survey
22 powder products Direct survey
23 Total butter and other yellow fat products Direct survey
24 cheeses Direct survey
2411 cows’ milk cheeses Direct survey
25 processed cheeses Direct survey
27 whey Direct survey


TABLE C (Farms annual data)

Collecting the basic information (Referring to the part 2 of the milk questionnaire)

B) Agricultural holdings (Farms) 
B.5 If there is not a regular survey of the production and use of milk on the farm 
Explain and detail the method used to calculate or estimate the annual production and use of milk on the farm:

Data regarding production of milk on farm is provided from the administrative source. The estimation of milk production from cows is made based on their average annual number, resulting from livestock movement, and the average milk yield for cows calculated by the Ministry of Agriculture and Rural Development. The same reasoning has been followed for the production of milk from sheep and goats.

Regarding the use of milk on farm no information is produced for the moment. Through IPA MB a model was developed for Table C using the availble data as a pilot.
3.6. Adjustment

Not applicable.


4. Quality management Top
4.1. Quality assurance

INSTAT is committed to ensure the highest quality with respect to the compilation of statistical information. In accordance with the Statistics Law, INSTAT use statistical methods and processes in compliance with internationally recognized scientific principles and standards conduct ongoing analyses of the statistics with a view to quality improvements and ensure that statistics are as update. In performing its tasks it follows the general principles of quality management from the European Statistics Code of Practice. INSTAT declares that it takes into account the following principles: impartiality, quality of processes and products, user orientation, employee orientation, effectiveness of statistical processes, reducing the workload for respondents.
4.2. Quality management - assessment

The data of Milk and Dairy Products survey are compared with data from previous years to see if there is any data coherence or significant changes. In case of changes, data from other available sources are used to confirm the situation of cases where large differences of behaviour of one year with other years are encountered.


5. Relevance Top
5.1. Relevance - User Needs

Users of Milk and Dairy Products are divided into internal and external users. 

External users:

  • Public administration institutions
  • Universities
  • National and international non-profit organizations
  • Businesses
  • Researchers,
  • Students and other similar groups.

Internal users:

  • Directorate of National Accounts
  • Directorate of Economic Statistics
  • Directorate of Social Statistics
  • Directory of Real Sector
  • Who use Milk and Dairy Products statistics as input to their work.
5.2. Relevance - User Satisfaction

Page Views (Hits) on Livestock Statistics in 2022 are around 5,066 clicks.

During 2022, INSTAT conducted User Satisfaction Survey from INSTAT publications. The survey results show that the overall quality of Livestock Statistics is 3.62 (72,4%) on a scale of 1 (very poor) to 5 (very good).

INSTAT organizes every year User Satisfaction Survey.



Annexes:
USER SATISFACTION SURVEY
5.3. Completeness

The completeness of the Milk and Dairy Products Survey data for 2023 (reference year 2022) is judged by comparing the quality and quantity of indicators covered by INSTAT with those of the regulations followed. The level of completeness of the indicators at aggregated and detailed level is in full compliance with the "Council Directive 96/16/EC of 19 March 1996 on statistical surveys of milk and dairy products".
5.3.1. Data completeness - rate

Based on the data transmitted the completeness of the file is 99.03%. Two values are missing: cows’ milk protein content (OUT) for Whey and Processed cheese.


6. Accuracy and reliability Top
6.1. Accuracy - overall

Overall, the data is checked with previous years to identify any significant changes in the data. Where changes occur, the survey data is checked with alternative sources, if any.

When there is no information from alternative sources, INSTAT corrects or confirms the data using emails or by calling the respondents.

Measures taken by INSTAT each year, to increase response rates or to reduce the impact of nonresponse by imputing them are as follow:

  • Data are collected directly from the enterprise.
  • Data are collected by using PAPI method with face to face interviews using tablets.
  • The enumerators staff is trained how to handle difficult respondents.
  • Due to the lack of an address system, it is often difficult for enumerators to find enterprise. For this reason, INSTAT staff, via email addresses or phone number, contacts the person responsible for completing the survey and receives more information on the location as well as the date and time of the meeting.
  • When this enterprise refuses to respond to interviewer, an official request in particular is directed for the president of enterprises and signed by INSTAT director general.
  • A formal request is also sent to other companies that agree to respond only if the information is formally requested.
  • The enterprises are invited to contact the Statistical Office in case of questions and always qualified staffs are available to answer the enterprises calls.
6.2. Sampling error

Not applicable as it is not a random selection. The survey is based on an exhaustive list of enterprises
6.2.1. Sampling error - indicators

Not applicable.
6.3. Non-sampling error

   

 
6.3.1. Coverage error

Coverage errors are rare and are possible when an update of the Business Register is not updated adequately (in case subjects have not declared the right NACE code of their activity)
6.3.1.1. Over-coverage - rate

Over-coverage occurs when the selected enterprise is surveyed in a particular activity and during the interview process it is no longer subject to survey or the status of the enterprise has changed, it is no longer active. The over-coverage rate on milk and dairy product statistics 2022 is 3.62%.
6.3.1.2. Common units - proportion

This survey does not combine data (not use units from two or more sources).
6.3.2. Measurement error

Measurement errors hapen during data entry from the operators in the provided application.
6.3.3. Non response error

TABLE A (Dairy monthly data), TABLES B and H (Dairy annual data)

Collecting the basic information (Referring to the part 2 of the milk questionnaire)

A) From Dairies 
A.4 Monthly questionnaires (Dairies: Table A) 
Usual response rate (%)

100
Which method do you use to estimate data for non-respondents?

In case dairies will not deliver statistical data, their inofrmation is estimated on the basis on total quantity of repurchased milk and  structure of milk products in dairies.
A.5 Annual questionnaires (Dairies: Tables B and  H) 
Usual response rate (%)

99.51
Which method do you use to estimate data for non-respondents?

Data for non-respondents are estimated on the basis of data declared in the monthly survey. In case the enterprise is not part of the monthly survey then data is estimated on the basis of the previous annaul surveys

 

Actions to reduce non-response include sending informative reminder letters to respondents, phone calls, sometimes medium or large enterprise visits. In case of unit non-response, some evaluation methods are used prior to imputation: based on last year's record, based on the production trends of this unit from the beginning of the current year to the end of this year, or based on the trend of previous years of this enterprise. 


TABLE C (Farms annual data)

Collecting the basic information (Referring to the part 2 of the milk questionnaire)

B) Agricultural holdings (Farms) 
B.2 If there is a regular survey of the production and use of milk on the farm, detail procedures.  
Usual response rate (%)

No regular survey is conducted for Table C (production and use milk on farm)
B.3 In case of a regular survey of the production and use of milk on the farm, method used to estimate the quantities produced and used by non-respondents 
What method do you use to estimate the quantities of milk produced and used on the farm by non-respondents?

No regular survey is conducted for Table C (production and use milk on farm)


Unit non-response - rate

Unit nonresponse rate for 2022 is 0.49 %.


Item non-response - rate

0

In the case of item non-response, missing variables are requested by phone call. Technical errors are faced with automatic checks that are included in the data editing process. Many controls are performed automatically with human interaction. There are very detailed charts to check each respondent at the product level and to find possible discrepancies. There are some aggregate controls done as well. The data are checked at different levels of collection first by the persons responsible for specific activities, then by supervisor and by head of the responsible unit.
6.3.4. Processing error

Information not collected in line with the Decision 97/80/EC (ANNEX III)
6.3.4.1. Imputation - rate

1.5%
6.3.5. Model assumption error

Information not collected in line with the Decision 97/80/EC (ANNEX III)
6.4. Seasonal adjustment

No seasonal adjustment is done.
6.5. Data revision - policy

Revision policy of is done in accordance with general Revision Policy and Errors Treatment Policy introduced by INSTAT in the links below: 



Annexes:
Error Tretment Policy
Statistical Revision Policy
6.6. Data revision - practice

If the authorities that send information on Milk and Dairy Product Statistics to INSTAT will report changes in the information provided through tables, this data will be updated and published in the forthcoming publication accompanied by an explanatory note to the user.
6.6.1. Data revision - average size

No revision is done up till now.


7. Timeliness and punctuality Top
7.1. Timeliness

Results are published on INSTAT website 187 days after the end of the reference period (T+187 days). The reference period of Milk and Dairy Products statistics is December 31st, 2022.

 
7.1.1. Time lag - first result

No first results are published.
7.1.2. Time lag - final result
Reference period 12/31/2022
Date of publication 07/06/2023
Time lag 187
7.2. Punctuality

The data of Milk and Dairy Products are disseminated according to the publication calendar. The publication of Milk and Dairy Products has been punctuality in time to 100% of publications carried out over the years.

 
7.2.1. Punctuality - delivery and publication
Reference period 12/31/2022
Date of announcement 7/06/2023
Date of publication 7/06/2023
Time lag 187


8. Coherence and comparability Top
8.1. Comparability - geographical

Data on Milk and Dairy Product Statistics are comprehensive; they are produced at the country level.
8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.
8.2. Comparability - over time

Statistical information on Milk and Dairy Product Statistics is collected in the same way dating back to 2014, providing a comparability of 9 years. Data is constantly monitored to ensure comparability over time.
8.2.1. Length of comparable time series

9
8.3. Coherence - cross domain

Published data related to the Survey of Milk and Dairy Products can be found in these related areas such as: Annual Survey in Agriculture or administrative data from the Ministry of Agriculture and Rural Development. Despite the similarity of the indicators produced by these indicators, it should be noted that methodological differences exist between the data.
8.4. Coherence - sub annual and annual statistics

Not applicable.
8.5. Coherence - National Accounts

Not applicable.
8.6. Coherence - internal

The internal consistency of the data is checked before being finalized. The relation between the variables and the coherence in the various series are also checked.


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

The press release contains information about the main Milk and Dairy Products indicators. The Milk and Dairy Products Press Release is published online on the INSTAT.
9.2. Dissemination format - Publications

Results for Milk and Dairy Product Statistics are published in the publication "Milk and Dairy Products", "Regional Statistical Yearbook". Users can find the results on the INSTAT website.



Annexes:
Regional Statistical Yearbook 2022
Milk and Dairy Products, 2022
9.3. Dissemination format - online database

Data on Milk and Dairy Product Statistics are published on INSTAT official website, Database section.



Annexes:
Database section
9.3.1. Data tables - consultations

Table consultations regarding “Milk and Dairy Products statistics” in 2022 are around 5.066.

 
9.4. Dissemination format - microdata access

Micro data is not public to the user as a consequence of confidentiality. Aggregated data is the only type of data provided to external users. Although micro data are not published, they can be accessed pursuant to Article 34 of Law no. 17/2018. 
9.5. Dissemination format - other

Users can submit other specific Milk and Dairy Product Statistics requests through a dedicated Data Requests section.



Annexes:
Data request section
9.6. Documentation on methodology

A brief explanation of user definitions, key concepts and methodological explanations is published in the press release and publications. Additional information is provided to internal users when needed. The INSTAT page has a section on Methodology on  Milk and Dairy Product Statistics.



Annexes:
Methodology
9.7. Quality management - documentation

Sector of Livestock, Fisheries and Environment Statistics documents the entire process and procedures for internal purposes.
9.7.1. Metadata completeness - rate

100%
9.7.2. Metadata - consultations

Metadata regarding milk and dairy statistics is consulted internally twice per year.


10. Cost and Burden Top

The staff involved in the preparation of the Milk and Dairy Product Statistics in the Livestock and Fisheries Statistics sector are: 3 employee at the central offices of INSTAT, Regional Offices staff, 17 in total, Interviewers, 29 in total, 1 controller and operator and 1 IT employee.


11. Confidentiality Top
11.1. Confidentiality - policy

The data collected are considered as strictly confidential and used only for statistical purposes and scientific research in accordance with the national Statistical Law No.17/2018 “On Official Statistics”, date 10.03.2018 and the Law no. 9887, dated 10.03.2008 "Personal Data Protection", Article 31 of the Law on Official Statistics clearly define that all statistical information collected by INSTAT are confidential and may only be used or published in such summary tables that do not identify the information of the unit. The direct identification is called when a statistical unit is directly identified by the name, address or any officially recognized identification number. When data processing is performed in such a way as to enable the data subject to be identified, the data must be coded immediately so that the entities are no longer recognized
11.2. Confidentiality - data treatment

General (Referring to the part 1 of the milk questionnaire)

Question on the confidentiality of the data transmitted

Do you have problems with data confidentiality? No
If yes, can you describe them? 

Albanian Institute of Statistics protects and does not disseminate data it has obtained or it has access to, which enable the direct or indirect identification of the statistical units. Albania Institute of Statistics takes all appropriate preventive measures so as to render impossible the identification of individual statistical units by technical or other means that might reasonably be used by a third party. Statistical data that could potentially enable the identification of the statistical unit are disseminated by Albania Institute of Statistics if and only if:

a) these data have been treated, as it is specifically set out in the Regulation, in such a way that their dissemination does not prejudice statistical confidentiality or

b) the statistical unit has given its consent, without any reservations, for the disclosure of data.

The confidential data that are transmitted to Albania Institute of Statistics are used exclusively for statistical purposes and the only persons who have the right to have access to these data are the personnel engaged in this task. Issues referring to the observance of statistical confidentiality are examined by the staff working in Albania Institute of Statistics. The responsibilities of this staff are to recommend on:  which detailed level the statistical data can be disseminated, so as the identification, either directly or indirectly, of the surveyed statistical unit is not possible; the anonymization criteria for the microdata provided to users; the access granting to researchers on confidential data for scientific purposes.


12. Comment Top

No comment


Related metadata Top


Annexes Top