Orchard (orch)

2.1.1 Describe shortly the main characteristics of the statistics	Structural orchard statistics provide data on the area, age and density of apple, pear, peach, nectarine, citrus fruit and olives. The statistics are collected from surveys. Data are collected on national level and for some variables also at NUTS1 level. The data collection concerns countries with more than 1000 ha of area for any single fruit tree type.
2.1.2 Which of the fruit tree types are covered by the data collection?	Dessert apple trees Dessert peach and nectarine trees Orange trees Small citrus fruit trees Olive trees Dessert pear trees
2.1.3 If Other, please specify

Reference period

2.1.4 Reference period of the data collection	2017
2.1.5 When was the data collection done (month(s) and year)	The data collection began in September 2017 and ended in December 2017

National legislation

2.1.6 Is there a national legislation covering these statistics?	No
If Yes, please answer all the following questions.
2.1.7 Name of the national legislation
2.1.8 Link to the national legislation
2.1.9 Responsible organisation for the national legislation
2.1.10 Year of entry into force of the national legislation
2.1.11 Please indicate which variables required under EU regulation are not covered by national legislation, if any.
2.1.12 Please indicate which national definitions differ from those in the EU regulation, if any.
2.1.13 Please indicate which additional variables have been collected if compared to Regulation (EU) 1337/2011, if any?
2.1.14 Is there a legal obligation for respondents to reply?

Additional comments on data description

2.2. Classification system

The surveys refer to the following species of fruit trees (ACS codes): F1110 - apple trees; F1120 - pear trees; F1210_1220 - peach and nectarine trees; T1000 - orange trees; T2000 - small citrus fruit trees; O1000 - olive trees.

The species of fruit and the varieties were listed in Annex III, the statistical classes on the age of the trees were listed in Annex II and the statistical classes for the net area planted, the number of trees and the density of plantation were listed in Annex IV to Commission Decision (EC) No 38/2002.

From 2012 on, these information are listed in Annex 1 of Regulation (EU) No 1337/2011.

2.3. Coverage - sector

Main fruit tree species (see item 2.1 - 'Data description')

Growing of perennial crops (NACE A01.2)

2.4. Statistical concepts and definitions

See: Orchard statistics Handbook

2.4.1 Do national crop item definitions differ from the definitions in the Handbook (D-flagged data)?	No
2.4.2 If Yes, please specify the items and the differences
2.4.3 If the fruits for industrial processing are not separately surveyed, are they included in dessert fruit categories?	Yes
2.4.4 If yes, for which fruit tree types?	Apple trees Pear trees Peach and nectarine trees
In case data are delivered for one of the items below, describe the 10 biggest varieties included in the item:
2.4.5 Other dessert apples n.e.c.	Bravo de esmolfe
2.4.6 Other dessert pears n.e.c.	Dona Joaquina; Maurentina/Mourentini; São Bartolomeu; de água; Carapinha; Vitória
2.4.7 Other oranges n.e.c.	Varfine; Star rubi;
2.4.8 Other small citrus fruits, including hybrids	Ortanique; Fermut; Clemenville

2.5. Statistical unit

The survey unit is a homogeneous parcel planted by an agricultural holding producing entirely or mainly for the market, with the cultivation of permanent crops mentioned in point 2.1.

2.6. Statistical population

All agricultural holdings with an area planted with fruit trees (apples, pear, peach, orange and small-fruited citrus) provided that the fruit produced is entirely or mainly intended for the market. According current legislation the combination of § 1 and 2 of Article 3, alows MS to exclude until 10% of total planted area of each permanent crop since statistics be representative of at least 95% of the total which could be acumulate wtih another 5% in the case of the area covered by the holdings with a threshold bellow 0,2 ha is less than 5% of the total planted aresa of individual crops.

2.7. Reference area

2.7.1 Geographical area covered	Mainland except Entre-Douro e Minho agrarian region. Autonomous Regions (Azores and Madeira) were excluded
2.7.2 Which special Member State territories are included?

2.8. Coverage - Time

Orchard survey data is available for the following years: 1977, 1982, 1987, 1992, 1997, 2002, 2007 and 2012.

2.9. Base period

Not applicable.

3. Statistical processing

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3.1. Source data

Overall summary

3.1.1 Total number of different data sources used	1
The breakdown is as follows:
3.1.2 Total number of sources of the type "Census"	0
3.1.3 Total number of sources of the type "Sample survey"	1
3.1.4 Total number of sources of the type "Administrative source"	0
3.1.5 Total number of sources of the type "Experts"	0
3.1.6 Total number of sources of the type "Other sources"	0

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.1 of the annexed Excel file
3.1.7 Name/Title
3.1.8 Name of Organisation responsible
3.1.9 Main scope
3.1.10 Target fruit tree types
3.1.11 List used to build the frame
3.1.12 Any possible threshold values
3.1.13 Population size
3.1.14 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.1 of the annexed Excel file
3.1.15 Name/Title	Orchard Survey
3.1.16 Name of Organisation responsible	Staistics Portugal
3.1.17 Main scope	The main objective of this statistical operation is to determine the productive potential of the orchards of the main fruit species and the olive groves, through the knowledge of the areas by variety, year and planting density or compass (number of trees per hectare) The data collected focuses on qualitative and quantitative data: a) Qualitative data identification - The identification of the surveyed unit (agricultural holding and farmer); - Allow to characterize/update the status of the surveyed unit (existing agricultural holding, or non-existent, or without conditions). b) Quantitative data: - For each species: the area and the production; - For each homogeneous population (same species, variety, year of planting and planting density).
3.1.18 Target fruit tree types	Dessert apple trees Dessert pear trees Dessert peach and nectarine trees Orange trees Small citrus fruit trees Olive trees
3.1.19 List used to build the frame	Agricultural Sampling Base (BAA).
3.1.20 Any possible threshold values	The statistics to be provided by this survey are representative of, at least, 95% of the total planted area by each permanent crop, producing entirely or mainly for the market, of each permanent crop referred, in each Member State. The geographical scope is limited to mainland (except agricultural region Entre Douro e Minho), because the Autonomous Regions of Açores and Madeira represent, as a whole, less than 5% of the total surface of each species.
3.1.21 Population size	Mainland agricultural holdings, with the exception of farms in the Entre Douro and Minho region, which declared in agricultural census 2009/10 (RA 09) a total area of 0.2 hectares of apple or pear or orange trees or small citrus fruit trees or by holdings with 0.15 hectares or more peach trees or 0.75 hectares or more of olive trees. The total population is about 80,200 holdings/farms
3.1.22 Sample size	Total sample size stood at about 6,685 farms.
3.1.23 Sampling basis	List
3.1.24 If Other, please specify
3.1.25 Type of sample design	Stratified
3.1.26 If Other, please specify
3.1.27 If Stratified, number of strata	169 (see annex Starification.xlsx)
3.1.28 If Stratified, stratification criteria	Unit size
3.1.29 If Other, please specify
3.1.30 Additional comments

Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.1 of the annexed Excel file
3.1.31 Name/Title
3.1.32 Name of Organisation responsible
3.1.33 Contact information (email and phone)
3.1.34 Main administrative scope
3.1.35 Target fruit tree types
3.1.36 Geospatial Coverage
3.1.37 Update frequency
3.1.38 Legal basis
3.1.39 Are you able to access directly to the micro data?
3.1.40 Are you able to check the plausibility of the data, namely by contacting directly the units?
3.1.41 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation?
3.1.42 Please list the main differences between the administrative source and the statistical definitions and concepts
3.1.43 Is a different threshold used in the administrative source and statistical data?
3.1.44 If Yes, please specify
3.1.45 Additional comments

Experts

If there is more than one Expert source, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file
3.1.46 Name/Title
3.1.47 Primary purpose
3.1.48 Target fruit tree types
3.1.49 Legal basis
3.1.50 Update frequency
3.1.51 Expert data supplier
3.1.52 If Other, please specify
3.1.53 How would you assess the quality of those data?
3.1.54 Additional comments

Other sources

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file
3.1.55 Name/Title
3.1.56 Name of Organisation
3.1.57 Primary purpose
3.1.58 Target fruit tree types
3.1.59 Data type
3.1.60 If Other, please specify
3.1.61 How would you assess the quality of those data?
3.1.62 Additional comments

Annexes:
Orchard survey statification design

3.2. Frequency of data collection

Every 5 years

3.3. Data collection

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.3 of the annexed Excel file
3.3.1 Name/Title
3.3.2 Methods of data collection
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.7 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.3 of the annexed Excel file
3.3.8 Name/Title	Orchard survey
3.3.9 Methods of data collection	Face-to-face interview
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?	Paper questionnaire
3.3.12 Data entry method, if paper questionnaires?	Manual
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)	http://smi.ine.pt/SuporteRecolha/Detalhes/10052
3.3.14 Additional comments

Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.3 of the annexed Excel file
3.3.15 Name/Title
3.3.16 Extraction date
3.3.17 How easy is it to get access to the data?
3.3.18 Data transfer method
3.3.19 Additional comments

Experts

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.3 of the annexed Excel file
3.3.20 Name/Title
3.3.21 Methods of data collection
3.3.22 Additional comments

3.4. Data validation

3.4.1 Which kind of data validation measures are in place?	Manual Automatic
3.4.2 What do they target?	Completeness Outliers Aggregates Consistency
3.4.3 If Other, please specify

3.5. Data compilation

3.5.1 Describe the data compilation process	See anex: Data compilation
3.5.2 Additional comments

Annexes:
data compilation process

3.6. Adjustment

not applicable

4. Quality management

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4.1. Quality assurance

4.1.1 Is there a quality management system used in the organisation?	No
4.1.2 If yes, how is it implemented?
4.1.3 Has a peer review been carried out?	No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen?	Improve data validation Further training Further automation
4.1.6 If Other, please specify
4.1.7 Additional comments

4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality	Stable
4.2.2 Relevance	Stable
4.2.3 Accuracy and reliability	Stable
4.2.4 Timeliness and punctuality	Stable
4.2.5 Comparability	Deterioration
4.2.6 Coherence	Stable
4.2.7 Additional comments	The comparability of the sample survey results with other sources has deteriorated, due to the fact that the Agricultural Sampling Base (BAA) - estabilished from agricultural census 2009 and updated by agricultural sample surveys - is getting older (less update).

5. Relevance

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5.1. Relevance - User Needs

5.1.1 If certain user needs are not met, please specify which and why	The main user of this data at a national level is Agriculture Ministery. No other users are known
5.1.2 Please specify any plans to satisfy needs more completely in the future	there are no plans since we don't have any feedback from the users in this direction
5.1.3 Additional comments

5.2. Relevance - User Satisfaction

5.2.1 Has a user satisfaction survey been conducted?	No
If Yes, please answer all the following questions
5.2.2 Year of the user satisfaction survey
5.2.3 How satisfied were the users?
5.2.4 Additional comments

5.3. Completeness

5.3.1 Data completeness - rate	100%
5.3.2 If not complete, which characteristics are missing?
5.3.3 Additional comments

6. Accuracy and reliability

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6.1. Accuracy - overall

6.1.1 How good is the accuracy?	Medium
6.1.2 What are the main factors lowering the accuracy?	Other
6.1.3 If Other, please specify	Survey results reflects the aging of Agricultural Sampling Base (BAA)
6.1.4 Additional comments

6.2. Sampling error

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.2 of the annexed Excel file

6.2.1 Name/Title

Orchard survey

6.2.2 Methods used to assess the sampling error

Relative standard error

6.2.3 If Other, please specify

6.2.4 Methods used to derive the extrapolation factor

Basic weight

6.2.5 If Other, please specify

6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas

Coefficient of variation (CV) - PT - Please see the file annexed to this table

6.2.7 Sampling error - indicators

Please provide the coefficients of variation in %

	CV (%)
Dessert apple trees	9.39
Apple trees for industrial processing
Dessert pear trees	9.88
Pear trees for industrial processing
Apricot trees
Dessert peach and nectarine trees	8.47
Peach and nectarine trees for industrial processing (including group of Pavie)
Orange trees	2.43
Small citrus fruit trees	4.08
Lemon trees
Olive trees	1.72
Table grape vines	Sent only in 2015

6.2.8 Additional comments

Annexes:
Extrapolation factor
Variance and CV

6.3. Non-sampling error

See sections below.

6.3.1. Coverage error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.1.1 Name/Title
Over-coverage
6.3.1.2 Does the sample frame include wrongly classified units that are out of scope?
6.3.1.3 What methods are used to detect the out-of scope units?
6.3.1.4 Does the sample frame include units that do not exist in practice?
6.3.1.5 Over-coverage - rate
6.3.1.6 Impact on the data quality
Under-coverage
6.3.1.7 Does the sample frame include all units falling within the scope of this survey?
6.3.1.8 If Not, which units are not included?
6.3.1.9 How large do you estimate the proportion of those units? (%)
6.3.1.10 Impact on the data quality
Misclassification
6.3.1.11 Impact on the data quality
Common units
6.3.1.12 Common units - proportion
6.3.1.13 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.1.14 Name/Title	Orchard survey.
Over-coverage
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope?	Yes
6.3.1.16 What methods are used to detect the out-of scope units?	The out-of-scope units are detected when the data is analysed.
6.3.1.17 Does the sample frame include units that do not exist in practice?	Yes
6.3.1.18 Over-coverage - rate	Not calculated.
6.3.1.19 Impact on the data quality	None
Under-coverage
6.3.1.20 Does the sample frame include all units falling within the scope of this survey?	Yes
6.3.1.21 If Not, which units are not included?
6.3.1.22 How large do you estimate the proportion of those units? (%)
6.3.1.23 Impact on the data quality	None
Misclassification
6.3.1.24 Impact on the data quality	None
Common units
6.3.1.25 Common units - proportion	Not applicable.
6.3.1.26 Additional comments

Administrative data

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 6.3 of the annexed Excel file
6.3.1.27 Name/Title of the administrative source
Over-coverage
6.3.1.28 Does the administrative source include wrongly classified units that are out of scope?
6.3.1.29 What methods are used to detect the out-of scope units?
6.3.1.30 Does the administrative source include units that do not exist in practice?
6.3.1.31 Over-coverage - rate
6.3.1.32 Impact on the data quality
Under-coverage
6.3.1.33 Does the administrative source include all units falling within the scope of this survey?
6.3.1.34 If Not, which units are not included?
6.3.1.35 How large do you estimate the proportion of those units? (%)
6.3.1.36 Impact on the data quality
Misclassification
6.3.1.37 Impact on the data quality
6.3.1.38 Additional comments

6.3.2. Measurement error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.2.1 Name/Title
6.3.2.2 Is the questionnaire based on usual concepts for respondents?
6.3.2.3 Number of censuses already performed with the current questionnaire?
6.3.2.4 Preparatory testing of the questionnaire?
6.3.2.5 Number of units participating in the tests?
6.3.2.6 Explanatory notes/handbook for surveyors/respondents?
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents?
6.3.2.8 Are there pre-filled questions?
6.3.2.9 Percentage of pre-filled questions out of total number of questions
6.3.2.10 Other actions taken for reducing the measurement error?
6.3.2.11 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.2.12 Name/Title	Orchard Survey
6.3.2.13 Is the questionnaire based on usual concepts for respondents?	Yes
6.3.2.14 Number of surveys already performed with the current questionnaire?	6
6.3.2.15 Preparatory testing of the questionnaire?	Yes
6.3.2.16 Number of units participating in the tests?	less than 20
6.3.2.17 Explanatory notes/handbook for surveyors/respondents?	Yes
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents?	No
6.3.2.19 Are there pre-filled questions?	No
6.3.2.20 Percentage of pre-filled questions out of total number of questions
6.3.2.21 Other actions taken for reducing the measurement error?	No
6.3.2.22 Additional comments

6.3.3. Non response error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.3.1 Name/Title of the survey
6.3.3.2 Unit non-response - rate
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context?
6.3.3.4 Measures taken for minimising the unit non-response
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate
6.3.3.7 Item non-response rate - Minimum
6.3.3.8 Item non-response rate - Maximum
6.3.3.9 Which items had a high item non-response rate?
6.3.3.10 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.3.11 Name/Title of the survey	Orchard Survey
6.3.3.12 Unit non-response - rate	Not calculated
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context?
6.3.3.14 Measures taken for minimising the unit non-response
6.3.3.15 If Other, please specify
6.3.3.16 Item non-response rate	Not calculated
6.3.3.17 Item non-response rate - Minimum	Not calculated
6.3.3.18 Item non-response rate - Maximum	Not calculated
6.3.3.19 Which items had a high item non-response rate?
6.3.3.20 Additional comments

6.3.4. Processing error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.4.1 Name/Title
6.3.4.2 Imputation - rate
6.3.4.3 Imputation - basis
6.3.4.4 If Other, please specify
6.3.4.5 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.4.6 Name/Title	Orchard survey.
6.3.4.7 Imputation - rate	0%.
6.3.4.8 Imputation - basis	Other
6.3.4.9 If Other, please specify	Imputation was not used.
6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation?	Not important
6.3.4.11 Additionnal comments

6.3.5. Model assumption error

Not applicable.

6.4. Seasonal adjustment

Not applicable.

6.5. Data revision - policy

As a rule, data in surveys are not subject to revisions. Not relevant.

6.6. Data revision - practice

6.6.1 Data revision - average size	Not applicable
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions) carried out since the last quality report?
6.6.3 What was the main reason for the revisions?	No data revision
6.6.4 How do you evaluate the impact of the revisions?
6.6.5 Additional comments

7. Timeliness and punctuality

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7.1. Timeliness

7.1.1 When were the first results for the reference period published?	Only final data will be available.
7.1.2 When were the final results for the reference period published?	The results will be available after Eurostat validation.
7.1.3 Reasons for possible long production times?	PT was able to provide the results of the survey before September 2018 but until now there is no feedback from Eurostat.

7.2. Punctuality

7.2.1 Were data released nationally according to a pre-announced schedule (Release Calendar)?	Yes
7.2.2 If Yes, were data released on the target date?	Yes
7.2.3 If No, reasons for delays?
7.2.4 Number of days between the national release date of data and the target date	It should be noted that the survey results were released only for Eurostat. This means that there was only one moment of disclosure, which was the first transmission to Eurostat. As PT already mentioned in previous edition, the results are not disseminated at national level since there is no users for this kind of data.

8. Coherence and comparability

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8.1. Comparability - geographical

To be assessed by Eurostat

8.1.1. Asymmetry for mirror flow statistics - coefficient

8.2. Comparability - over time

8.2.1 Length of comparable time series	From 2002
8.2.2 Have there been major breaks in the time series?	Yes
8.2.3 If Yes, please specify the year of break and the reason	Age and density classes changed in 2002
8.2.4 Additional comments	All previous edition despite the survey parameters (e.g. the list of varieties) have a certain dynamic and are being revised and updated from one survey to another

8.3. Coherence - cross domain

8.3.1 With which other national data sources have the data been compared?

Annual crop statistics 2017
FSS 2016
IACS

8.3.2 If Other, please specify

8.3.3 Describe briefly the results of comparisons

Results should be expressed as percentage deviation from the corresponding areas in the orchard survey.

	Annual Crop Statistics (2017)	FSS (2016)	IACS	Other source
Dessert apple trees	-24%	-26%	23%
Apple trees for industrial processing
Dessert pear trees	-18%	-17%	60%
Pear trees for industrial processing
Apricot trees
Dessert peach and nectarine trees	-36%	-31%	-1%
Peach and nectarine trees for industrial processing (including group of Pavie)
Orange trees	-28%	-19%	38%
Small citrus fruit trees	-20%	14%	123%
Lemon trees
Olive trees	-16%	-8%	6%
Table grape vines

8.3.4 If no comparisons have been made, explain why

8.3.5 Additional comments

Some issues should take into acount when we performed the comparisson over domains, namely:

FSS vs ORCHARD SURVEY:

Diferent coverage: All agricultural holdings with an area planted with fruit trees (apples, pear, peach, orange and small-fruited citrus) provided that the fruit produced is entirely or mainly intended for the market. According current legislation the combination of § 1 and 2 of Article 3, alows MS to exclude until 10% of total planted area of each permanent crop;

Agging of Agricultural Sampling Base (BAA): The sample survey has deteriorated, due to the fact that the Agricultural Sampling Base (BAA) is getting older since was estabilished from agricultural census 2009 and is only updated by agricultural sample surveys.

CROP SATISTICS vs ORCHARD SURVEY:

In article 2§3 of REGULATION (EU) No 1337/2011 one can read: ‘planted area’ means the area of the parcels planted with a homogeneous plantation of the relevant permanent crop, rounded to the nearest 0,1 hectare (ha). On the other hand, the cover for annual crop statistics is wider: as a general principle, an agronomically realistic area should be used, that is to say cultivated areas including the edges of fields, headlands, areas under isolated trees and wet areas.

IACS vs ORCHARD SURVEY:

Lack of coverage from IACS in what concerns orchards, vegetables, vineyards, olive groves

8.4. Coherence - sub annual and annual statistics

Please check the comparison with the annual crop statistics on item 8.3.

8.5. Coherence - National Accounts

Since one of the main sources of the National Accounts are the annual crop statistics, please check the comparison with the annual crop statistics on item 8.3.

8.6. Coherence - internal

The data set only contains data from the Orchard Survey and it is internally consistent.

9. Accessibility and clarity

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9.1. Dissemination format - News release

9.1.1 Do you publish a news release?	No
9.1.2 If Yes, please provide a link

9.2. Dissemination format - Publications

9.2.1 Do you produce a paper publication?	No
9.2.2 If Yes, is there an English version?
9.2.3 Do you produce an electronic publication?	No
9.2.4 If Yes, is there an English version?	No
9.2.5 Please provide a link

9.3. Dissemination format - online database

9.3.1 Data tables - consultations	Not applicable
9.3.2 Is an on-line database accessible to users?	No
9.3.3 Please provide a link

9.4. Dissemination format - microdata access

9.4.1 Are micro-data accessible to users?	No
9.4.2 Please provide a link

9.5. Dissemination format - other

Not applicabel

9.6. Documentation on methodology

9.6.1 Are national reference metadata files available?	Yes
9.6.2 Please provide a link	http://smi.ine.pt/DocumentacaoMetodologicaPorTema?clear=True
9.6.3 Are methodological papers available?	Yes
9.6.4 Please provide a link	http://smi.ine.pt/DocumentacaoMetodologicaPorTema?clear=True
9.6.5 Is a handbook available?	Yes
9.6.6 Please provide a link	http://smi.ine.pt/ConceitoPorTema?clear=True

9.7. Quality management - documentation

9.7.1 Metadata completeness - rate	100%
9.7.2 Metadata - consultations	Not applicabel
9.7.3 Is a quality report available?	No
9.7.4 Please provide a link

10. Cost and Burden

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10.1 Efficiency gains if compared to the previous quality report	None
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report	Less variables surveyed
10.4 If Other, please specify

11. Confidentiality

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11.1. Confidentiality - policy

11.1.1 Are confidential data transmitted to Eurostat?	Yes
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?	Yes
11.1.3 Describe the data confidentiality policy in place	Please see bellow from Statistics Portugal web portal: https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=polic-dif-n&INST=90110304&ine_smenu.boui=13918434&ine_smenu.selected=52400957&_xportalnocache=y&xlang=en

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	Statistics Portugal considered that for this kind of data there is no need to implementig confidenciality treatment.
11.2.2 Additional comments

12. Comment

Related metadata

Annexes