Waste generation and treatment (env_wasgt)

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

Compiling agency: National Statistics Institute (INE)


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)
 



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1. Contact Top
1.1. Contact organisation

National Statistics Institute (INE)
1.2. Contact organisation unit

Environmental, Agricultural and Finanncial Statistics Directorate
1.5. Contact mail address

C/Avenida de Manoteras 50-52

28050 Madrid


2. Statistical presentation Top
2.1. Data description

[not requested]
2.2. Classification system

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.3. Coverage - sector

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.4. Statistical concepts and definitions

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.5. Statistical unit

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.6. Statistical population

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.7. Reference area

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.8. Coverage - Time

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.9. Base period

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.


3. Statistical processing Top

[not requested]
3.1. Source data
Relationship of the parties/sources to the areas of the Regulation on Waste Statistics:
 See table above: Institutions involved and distribution of tasks

 

Assessment of the continuity of the data source, e.g. legal basis for the data source:
 

The 2020 yearly program derived from the 2017-2020 National Statistics Plan (PEN). Both, the plan and the program, are regulated through the Public Statistics Act along with the PEN. According to the latter, the statistical operation number 7111 (WSS), 7112 (MI) and 7113 (RT) regarding to Statistics on Waste is under the responsibility of INE.

The legal basis for the PRTR data is the Royal Decree 508/2007.

The yearly statistical program, as drafted from the four-year Plan, determines the statistical operations to be carried out along the year and continuity is, thus, ensured. Likewise data on urban waste collection is provided by MITERD on a yearly basis in accordance with an agreement INE-MITERD.

 

Institutions involved and distribution of tasks
Name of institution Description of key responsibilities
INE Responsible for waste surveys and the compilation of data for the Waste Regulation
Ministry for the Ecological Transition and the Demographic Challenge (MITECO/MITERD) The Ministry gathers (and supplies) yearly data on urban waste from regional governments as well as PRTR related data. They also manage the ESIR registry, for waste facilities. Also, it offers technical support on methodological concepts and revision of aggregates.
 Environment Departments of regional governments (EDs) and Regional Statistics Institutes (RSIs) Provide information regarding both the number and capacity of waste treatment facilities as well as of lists of licensed waste managers

 

General description of Data set 1: Waste generation by waste category (EWC-STAT) and economic activity (NACE)

General description of methodology:
 

As regards reference year 2020 the Spanish National Statistical Institute (INE) has carried out the following annual surveys:

-       Waste generation in manufacture industry (MI);

-       Collection and treatment of waste (RT).

-       Water Suply and Severage (SSA).

-       In addition, MITERD's data on the collection on urban waste are the basis for the estimates of the HH waste column. A licensed managers list along with the waste facilities lists, as provided by the EDs, are used as well.

 

Annex I is covered by the surveys MI and RT, by the SSA survey and by a biannual survey and a projection of waste generation in Agriculture, forestry and fishing, services and construction sectors 2019, based on a model that includes, among others, employment adjustments according to the Labour Force Survey (LFS) and by production from National Accounts, the PRTR data as well as data on urban waste collection as provided by the MITERD for the following LoW categories: 15 01 01, 06 and 07, 20 01 01, 02 and 08, 20 02 01 and 20 03 01.

 

 

 

Determination of waste generation in the economy on the basis of information on waste collection
 

As regards reference year 2020 the NSI (INE) has carried out the following annual surveys:

-       Waste generation in manufacture industry (MI);

-       Collection and treatment of waste (RT).

-       Water Suply and Severage (SSA).

-       In addition, MITERD´s data on the collection on urban waste are the basis for the estimates of the HH waste column. A licensed managers list along with the waste facilities lists, as provided by the EDs, are used as well.

 

Annex I is covered by the surveys MI and RT, and by a biannual survey and a projection of waste generation in Agriculture, forestry and fishing, services and construction sectors 2019, based on a model that includes, among others, employment adjustments according to the Labour Force Survey (LFS) and by production from National Accounts, the PRTR data as well as data on urban waste collection as provided by the MITECO for the following LoW categories: 15 01 01, 06 and 07, 20 01 01, 02 and 08, 20 02 01 and 20 03 01.

 

Annex II is covered by the RT survey, with section 3 of this annex being covered by a waste facilities list, as provided by the RSIs.

Estimation of waste generated by households (column 19) is based on urban waste collection data and some adjustments of waste disposal from the service survey. See below.

 

Determination of waste generation in the economy on the basis of administrative sources

Waste generation for NACE's 36,37,38 and 39 has been estimated from the exploitation of PRTR data and, for some waste, has been completed with waste generation and treatment models and sectoral reports. Also, for NACE's 36 and 37 the Water Suply and Severage (SSA) survey provides data.

PRTR data has also been used as a reference to check waste generated by local units within the industrial sector.

 

Data sets 2 and 3: Waste treatment

General description of methodology:
 For treated waste quantities data collection is based on the RT survey (NUTS 2 level coverage). Data on waste treatment facilities (both number and capacity per treatment operation) is supplied by the regional statistics offices of the autonomous communities (NUTS 2) upon a yearly official request by INE. For those cases in which no official information has been received, the latest official data available has been used and is indicated with a foot note E.

 

Identification of relevant treatment facilities:
 Aggregated data on waste treatment facilities has been requested from (and supplied by) the regional statistical offices after consultation (and request) from the respective environmental authority in each autonomous community. Fulfilment of the required data by autonomous communities is accomplished by their own registers based on legal permits. The ESIR registry has also been used to verify and improve some data.

 

Registers used for identification of waste treatment operations
Identification of register(s) used (name; responsible institution) Description of register(s) (coverage; frequency and procedure of updating, ..)
Lists of waste managers supplied by the regional statistical offices. Treatment operations are identified through the RT survey questionnaires.

 Full coverage.

Yearly updating via ad hoc official requirement by INE. Registers are updated by regional authorities under ad hoc legislation (permits).

All registers carrying out the treatment operations envisaged by the WstatR are taken into account when forming the corresponding sample.
   
   

 

Data collection on treated quantities:

Annual RT survey addressed to waste facilities managers.

For categories 01.2 hz, 01.3 hz, 03.2 hz, 05 (hz and nhz), 06.1, 06.2, 06.3, 07.1 (hz and nhz), 07.6 nhz, 07.7 hz, 08.1 (nhz and hz), 08.41 (hz and nhz), 09.1, 09.2, 09.3, 10.1, 10.2 (hz and nhz), 10.3 (hz and nhz), 12.6 hz and 12.8+13 (hz and nhz), data on treated quantities are directly estimated from the RT survey.

For category 06.1 data come from an specific study to the Steel Industry through the RT survey. A future study will be carried out to improve the information about the supply of these metallic wastes.

For category  06.2 total treated quantity is estimated as the corresponding total generated quantity adjusted by imports and then allocated to the different treatment operations according to the treatment structure yielded by the RT survey.

For the remaining categories total treated quantities are estimated as the respectives total generated quantities and then allocated to the different treatment operations according to the treatment structure yielded by the RT survey.

 

Determination of treated waste quantities
Description of data sources and methods by treatment category
Item 1
Incineration
(R1)		  RT survey
Item 2
Incineration
(D10)		  RT survey
Item 3a
Recycling
(R2 – R11)		  RT survey
Item 3b
Backfilling		  RT survey
Item 4
Landfilling
(D1, D5, D12)		  RT survey
Item 5
Other disposal
(D2,D3,D4, D6,D7)		  RT survey

 

Data collection on capacity of treatment facilities:
Number and capacity of waste treatment facilities is requested from the RSIs on a yearly basis. Also some information is verified and improved from the ESIR Registry, But as information on capacity of treatment facilities is lacking for some autonomous communities, imputation per treatment operation is deemed to be necessary. Imputed data is based on the average capacity of those facilities for which actual data are available.
3.2. Frequency of data collection

RT survey is annual.

Generation surveys are biannual: one year, INE suveys B,C and D sections, and next year sections F and service sectors, due economic constraints.

For section A, the investigation is pluriannual.

For NACEs 36 and 37, Water supply and severage survey is biannual.

Municipalities data colletion is provided by MITERD annually.
3.3. Data collection

See point 3.2
3.4. Data validation

-
3.5. Data compilation

- 

 

 
3.6. Adjustment

[not requested]


4. Quality management Top
4.1. Quality assurance

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
4.2. Quality management - assessment

[not requested]


5. Relevance Top

-
5.1. Relevance - User Needs

[not requested]
5.2. Relevance - User Satisfaction

[not requested]
5.3. Completeness
Description of missing data in data set 1 on waste generation

Description of missing data
(waste category, economic activity, ..)

Explanation

How to overcome the deficit
 There are no missing data in data set on waste generation    
     
     

 

Description of missing data in data sets 2 and 3 on treated waste quantities and capacities

Description of missing data
(waste category, treatment category, region, ..)

Explanation

How to overcome the deficit
 Capacity of facilities  The information is provided by the authorities of the autonomous communities. In some cases, this information is not available on time.  An estimate is made ​​via the average capacity reported
     
     
5.3.1. Data completeness - rate

[not requested]


6. Accuracy and reliability Top
6.1. Accuracy - overall

[not requested]
6.2. Sampling error

Sample frame applied

The waste generation surveys rely on the INE Central Business Register (CBR) as sampling frame. The Collection and treatment of waste (RT) survey use Licensed Waste Managers Lists as frame integrated/complemented with the CBR.

 

Sampling scheme applied             

RT survey:(urban waste):

The estimate of the totals in variables related to the collection of municipal waste is performed by separate ratio estimators, using the resident population in the municipalities attended by the service as auxiliary information .


The database of urban waste managers is stratified by NUTs2, as follows:Within the overall framework for waste managers, municipal waste managers in particular are associated through an auxiliary database, to the municipality or municipalities in which they collect urban waste. The units are divided, by NUTs II, into three groups.

        Group 1. Units providing services to at least one municipality above 50,000 inhabitants.

        Group 2. Units whose largest municipality served has a size between 20,000 and 50,000 inhabitants.

        Group 3. Units providing services to municipalities smaller than 20,000 inhabitants.

The selection is exhaustive for units that belong to group 1 (After one unit is selected, all municipalities in which that unit serves as an urban waste collector are studied, regardless of size). Selection of units 2 and 3 groups continues, by size, making sure that it covers at least 70% of the population in this groups in the autonomous community. Therefore units serving municipalities with more than 50,000 inhabitants are certainly included and so are almost all of those over 20,000 as well as a good representation of the other municipal sizes

 

RT survey (no-urban waste): exhaustive scheme the list of licensed non urban waste managers.

Generation surveys: stratified random sampling for small and medium size units strata (take some strata), while sampling is exhaustive (take all) for the remaining strata. Smallest strata excluded from sampling in some of the generation surveys.

Stratification  Almost two-digit NACE codes and size class, size being typically measured by the number of employees.
6.2.1. Sampling error - indicators
Totals and coefficients of variation for the key aggregates

Key aggregate

Amount of hazardous waste

[1000 tonnes]

Amount of Non-hazardous waste

[1000 tonnes]

Coefficient of variation hazardous waste
[%]

Coefficient of variation non-hazardous waste
[%]
Waste generation

Waste generated by households

 68,4 23.188,4  Non sampling scheme  Non sampling scheme

Waste generated by economic activities

 3.158,4 89.336,8  NA for total economy, due to some sectors are estimated by models  NA for total economy, due to some sectors are estimated by models
Waste treatment

Waste used as fuel (item 1) (incineration in the form of recovery R1)

 89,1 3.361,0  Non sampling scheme  Non sampling scheme

Waste incinerated (item 2) (incineration as disposal D10)

 53,4 44,0  Non sampling scheme  Non sampling scheme

Waste recovered (R2 – R11), incl. backfilling (item 3a and 3b)

 1.335,6 68.477,8  Non sampling scheme  Non sampling scheme

Waste disposed of by landfilling (D1, D5, D12) and other disposal operations (D2, D3, D4, D6, D7) (item 4 and 5)

 300,0 35.891,7   Non sampling scheme   Non sampling scheme
6.3. Non-sampling error

-
6.3.1. Coverage error
Coverage of waste statistics with regard to extractive waste1)

Coverage

Topsoil

Overburden

Waste-rock

Tailings
(non-haz.)

Completely covered

        

Partially covered

  X  X  X  X

Generally excluded

        

1)Please mark with an X whether the listed materials are completely covered, partially covered or generally excluded from waste statistics.

 NOTE: To address this issue INE has included since 2012 an ad hoc module in the MI Survey.  From the analysis of the results has been found that some materials could be  not included as waste, due to legally it is not considered waste.

Description of issues related to the allocation of mining waste to NACE section B or C:
 For those cases in which the manufacturing of mineral products (within division 23) takes place at the same place as the mining (mostly quarrying) of the corresponding raw materials, it is often extremely difficult to state –even for the own surveyed unit- the extent to which certain mineral wastes are originated at the quarrying or at the manufacturing process. Such is the case of marble made products. Consequently, a suitable allocation of those mineral wastes is uncertain. In general, extremely large amounts have been assigned to section B.

 

Annex I on waste generation:

Waste generation is covered by:

- NACE Agriculture, forestry and fishing, by a pluriannual survey and a projection of waste generation, according to the production indicators, elaborated by the Ministry of Agriculture, Food and Environtment (MAPAMA).

- For NACE B, C and D: By a bi-annual survey.

- For Services and construction sectors the reference is the 2015 survey . Year 2016 is estimated through a ratio per employee waste according to the Labour Force Survey (LFS), except for NACE 4677 and the rest of 46 where the employment data of structural bussiness statistics  is used.

- For NACE 36 and 37, a bi-annual survey on Water Supply and Sewerage (reference year 2016) provides data, and also we use data from PRTR.

- For NACE 38 and 39, PRTR data is used and completed with waste generation and treatment models.

- Household waste is derived from Urban Waste collected provided by RT survey. For the following LoW categories: 15 01 01, 06 and 07, 20 01 01, 02 and 08, 20 02 01 and 20 03 01, data are colleted by MAPAMA.

 

Annex II on waste treatment:
 Annex II:

RT Survey: model-based estimators.

Treatment data as reported in RT survey suspicious of under-coverage as detected through external sources: PRTR, Foreing Trade Statistics, Annual Sectoral Reports.

For some waste categories, they were adjusted via waste generation.

 

 

Coverage of waste treatment facilities and criteria for exclusion
 

No. of facilities included

No. of facilities excluded

Reasons for exclusion of facilities
and other comments

Item 1Incineration (R1)

    Negligible  

Item 2Incineration (D10)

    Negligible  

Item 3a Recycling (R2-R11)

    Negligible  

Item 3b Backfilling

    Negligible  

Item 4 Landfilling
(D1, D5, D12)

    Negligible  

Item 5 Other disposal
(D2, D3, D4, D6, D7)

    Negligible  

 

Commercial waste inclusion: Main problems description:
The bi-annual services survey is available  
6.3.1.1. Over-coverage - rate

[not requested]
6.3.1.2. Common units - proportion

[not requested]
6.3.2. Measurement error

Statistical units applied in each part of the data set:

Waste generation in manufacture industry (MI): Local units.

Collection and treatment of waste (RT): for this survey it is defined an specific unit: UGER. An UGER is an statistical unit that consists of all establishments managed under one enterprise in an autonomous community (NUTII).

 Outcome of the assessment of potential errors in the application of statistical units: NA

 Information quality of the data collection instrument

A priority consultation to specialised units in the MITERD. In addition a continuous contact is held with large waste collection and treatment firms as regards both the design and the content of the questionnaires.
6.3.3. Non response error

Non- Response treatment: Re-contacts, phone calls, personalised contact to larger firms and penalty proposals and fines.
6.3.3.1. Unit non-response - rate

[not requested]
6.3.3.2. Item non-response - rate

[not requested]
6.3.4. Processing error

The main actions carried out to proccess errors have been:

- Weekly reports on incidences;

- Personalised data collection from large firms;

- Previous analysis on incidences and units to be penalised;

- Outlier detection;

- Analysis of changes with respect to previous year;

- Contrast with external sources: data from MITERD (including PRTR and ESIR registry), Statistics from Foreing Trade, Business Associations of Waste Managers, etc.;

- Coherence analysis (for generation, treatment and facilities) and carrying out of the steps needed for data release.
6.3.4.1. Imputation - rate

[not requested]
6.3.5. Model assumption error

RT survey (urban waste)

Ratio estimators for some municipalities strata are based on resident population (sample and frame). It is assumed that waste generation by resident population is the same, in per capita terms, as that by non-residents.

Waste generation in the construction and services sectors is based on the per employee ratio, with totals being provided by the LFS and by Bussiness Services Survey (only for NACE 46).

Waste generation in section A (Agriculture, forestry and fishing) is based on different ratios, mainly productivity ratios. 

Sources used for auxiliary information for models:

The main sources are:

- From INE: The Labour Force Survey, the Population Register, the Annual Bussiness Surveys.

- From MITERD: data are checked against those as published by the MITERD  in its “Environment in Spain” yearbook and those available in the PRTR.

- From Environmental Departments of Regions: Lists of licensed managers and waste facilities, both provided by the EDs. 

- From several sectoral reports.
6.4. Seasonal adjustment

[not requested]
6.5. Data revision - policy

[not requested]

[not requested]
6.6. Data revision - practice

[not requested]
6.6.1. Data revision - average size

[not requested]


7. Timeliness and punctuality Top

Data have been sent on time: June 29-30, 2020.

Data validation started in January 2020. Primary analysis and final estimates, followed by secondary analysis is carried out until June.

Due to the covid19 some of the data could not be validated and are provisional data. In the coming weeks final analysis will be carried out .
7.1. Timeliness

 

Sample selection proposal (January 2019). Framework built-up and coordination of samples (March-May 2019). Data collection started in October. Training period first week of September. Data collection: from October to the end of December.

Data validation started in January 2020; outlier detection and imputation take place until March-April. Calculation of weighting factors as well as modelling, primary analysis and final estimates, followed by secondary analysis  is carried out  until May / June. Due to covid19, secondary analysis in some data and NACEs could not be finished. Some data is considered provisional.
7.1.1. Time lag - first result

[not requested]
7.1.2. Time lag - final result

[not requested]
7.2. Punctuality
Explanation for any delay in data transmission and measures taken to avoid delays in future:
 -
7.2.1. Punctuality - delivery and publication

[not requested]


8. Coherence and comparability Top

-
8.1. Comparability - geographical
Description of classifications used
 

Name of
classification(s) used

Description of the classification(s)
(in particular compatibility with WStatR requirements)

Economic activities

  NACE Rev.2  -

Waste types

  EWC  -

Recovery and treatment operations

  D and R codes  -

 

The regional comparability of data on waste treatment facilities is validated with the regional information of  MITECO. This information consists on facilities for the treatment of urban waste, so that information should be lower bound for INE'S information.

The statistical units used are the facilities according to the facility definition from national laws. There are very few cases of mobile treatment facilities. These are imputed to the region of the administrative site of the manager.
8.1.1. Asymmetry for mirror flow statistics - coefficient

[not requested]
8.2. Comparability - over time
Changes compared with previous years:
 Generated waste

Since 2010, for division 38 the output from pre-treatment operations as applied to waste category 10.1 is classified as 10.3 NHZ and assigned to division 38 accordingly. Consequently the change was almost entirely due to that metodological change.

Since 2018 (ref. year 2016), for NACE's 36 and 37, new data from the water supply and sewerage survey has been used. Also information from PRTR as before.

Since 2018, for NACE's 38 to 39, PRTR data is the main source of information, supported with an analysis of generation and treatment for some waste.

Since 2018, Discarded Vehicles of unknown origin have been reported as hazardous discarded vehicles and assigned to the service sector (NACE section G-U except class 46.77).

 Waste treatment

Since 2010, dismantling of ELVs is considered as a final treatment operation according to Eurostat recommendations. 

 

 Foreseen changes:
Constant improvements have been included in surveys of waste generation and treatment, for 2017 reference year, like the use of List of Waste (LoW) on the Service and Construction survey (both LoW and EWC-Stat Waste Categories are available), as it was already done in the 2016 Industry Survey. Also new strata in the 2017 Services and Construction Survey has been included. The results will be available for 2018 Regulation.

 

 Specific issues concerning the data collection on the current reference year:

A new full revision of NACE F has been carried out, taking into account the results of the surveys of waste generation and treatment, together with the advice of the Environmental Ministry (MAPAMA) and the construction industry experts. For this reason, it is not possible to compare 2016 with previous years.

Waste generation data for NACE's 36,37 is provided by the Water Supply and Severage Survey and by PRTR

Waste generation for NACE's 38 and 39 has been estimated from the exploitation of PRTR data and, for some waste, has been completed with waste generation and treatment models and sectoral reports.

PRTR is the Spanish Register of Emissions and Pollutant Sources, which data are provided directly by firms to the register administrator and validated by the competent environmental authorities 

 

 

 Detailed description and consequences:

The regional comparability of data on waste treatment facilities is validated with the regional information of  MAPAMA. This information consists on facilities for the treatment of urban waste, so that information should be lower bound for INE'S information.

The statistical units used are the facilities according to the facility definition from national laws. There are very few cases of mobile treatment facilities. These are imputed to the region of the administrative site of the manager.
8.2.1. Length of comparable time series

[not requested]
8.3. Coherence - cross domain
Environment statistics:
 Data reported under the Regulation on waste statistics are completely coherent wih the national dissemination, and with Trade Statistics, Environmental Accounts or Structural Indicators, in fact they are used in the validation process.

 

Socio-economic statistics:
 As it was mencioned before, data reported under the Regulation on waste statistics are completely coherent wih the national dissemination, and with socio-economic statistics, in fact they are used in the validation process.

[not requested]
8.4. Coherence - sub annual and annual statistics

[not requested]
8.5. Coherence - National Accounts

[not requested]
8.6. Coherence - internal

[not requested]


9. Accessibility and clarity Top

[not requested]
9.1. Dissemination format - News release

[not requested]
9.2. Dissemination format - Publications

[not requested]
9.3. Dissemination format - online database

[not requested]
9.3.1. Data tables - consultations

[not requested]
9.4. Dissemination format - microdata access

[not requested]
9.5. Dissemination format - other

[not requested]
9.6. Documentation on methodology

[not requested]
9.7. Quality management - documentation

[not requested]
9.7.1. Metadata completeness - rate

[not requested]
9.7.2. Metadata - consultations

[not requested]


10. Cost and Burden Top
Burden on respondents

Survey /
Source

Type and total number of respondents

Actual no. of respondents

Time required for response

Measures taken to minimise the burden
MI Local units:7.812  7.645  NA Every year the questionnaire is revised to include improvements to facilitate the response. It is available an on-line questionnaire, specific designed for this purpose.
         
 RT Local units (UGER):1.992  1.419  NA Every year the questionnaire is revised to include improvements to facilitate the response. It is available an on-line questionnaire, specific designed for this purpose.


11. Confidentiality Top

-
11.1. Confidentiality - policy
Description of the relevant confidentiality policy:

Like is states in the Law 12/1989 on Public Statistical Services, INE can not disseminate or make available in any way, individual or aggregated data that could lead to the identification of previously unknown information for a person or entity.

INE adopts logical, physical and administrative measures necessary for the protection of confidential information has to be effective, from data collection to publication.

A legal clause that informs the protection that protects the data collected is included in the survey questionnaires.

In the stages of information processing, data that allow direct identification only are preserved when are strictly necessary to ensure the quality of processes

Before the publication of the results, the information included in the tables is analyzed to ensure that confidential data can not be derived from statistical units.

In cases where microdata files are disseminated, they are always anonymous.



The data are published at national level and broken down by sections, groups or classes, when there are not confidentiality problems.

 

 
11.2. Confidentiality - data treatment

[not requested]


12. Comment Top

Due to the difficulties caused by Covid19 in the collection of some surveys of year 2020 and the delay and lack of information in data that we receive from various Administrations, together with human resourcers problems, some data will be revised in the incoming weeks.


Related metadata Top


Annexes Top
Annexes WSTAT QR2020