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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | National Statistics Institute (INE) |
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1.2. Contact organisation unit | Environmental, Agricultural and Finanncial Statistics Directorate |
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1.5. Contact mail address | C/Avenida de Manoteras 50-52 28050 Madrid |
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2.1. Data description | |||
[not requested] |
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2.2. Classification system | |||
Not available. |
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2.3. Coverage - sector | |||
Not available. |
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2.4. Statistical concepts and definitions | |||
Not available. |
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2.5. Statistical unit | |||
Not available. |
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2.6. Statistical population | |||
Not available. |
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2.7. Reference area | |||
Not available. |
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2.8. Coverage - Time | |||
Not available. |
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2.9. Base period | |||
Not available. |
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[not requested] |
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3.1. Source data | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
General description of Data set 1: Waste generation by waste category (EWC-STAT) and economic activity (NACE)
Data sets 2 and 3: Waste treatment
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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. |
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3.3. Data collection | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
See point 3.2 |
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3.4. Data validation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3.5. Data compilation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3.6. Adjustment | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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4.1. Quality assurance | |||
Not available. |
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4.2. Quality management - assessment | |||
[not requested] |
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5.1. Relevance - User Needs | ||||||||||||||||||||||||||||||
[not requested] |
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5.2. Relevance - User Satisfaction | ||||||||||||||||||||||||||||||
[not requested] |
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5.3. Completeness | ||||||||||||||||||||||||||||||
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5.3.1. Data completeness - rate | ||||||||||||||||||||||||||||||
[not requested] |
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6.1. Accuracy - overall | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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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 .
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. |
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6.2.1. Sampling error - indicators | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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6.3. Non-sampling error | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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6.3.1. Coverage error | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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.
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6.3.1.1. Over-coverage - rate | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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6.3.1.2. Common units - proportion | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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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. |
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6.3.3. Non response error | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Non- Response treatment: Re-contacts, phone calls, personalised contact to larger firms and penalty proposals and fines. |
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6.3.3.1. Unit non-response - rate | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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6.3.3.2. Item non-response - rate | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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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. |
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6.3.4.1. Imputation - rate | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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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. |
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6.4. Seasonal adjustment | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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6.5. Data revision - policy | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] [not requested] |
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6.6. Data revision - practice | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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6.6.1. Data revision - average size | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[not requested] |
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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. |
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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. |
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7.1.1. Time lag - first result | |||
[not requested] |
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7.1.2. Time lag - final result | |||
[not requested] |
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7.2. Punctuality | |||
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7.2.1. Punctuality - delivery and publication | |||
[not requested] |
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8.1. Comparability - geographical | |||||||||||||||
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. |
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8.1.1. Asymmetry for mirror flow statistics - coefficient | |||||||||||||||
[not requested] |
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8.2. Comparability - over time | |||||||||||||||
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8.2.1. Length of comparable time series | |||||||||||||||
[not requested] |
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8.3. Coherence - cross domain | |||||||||||||||
[not requested] |
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8.4. Coherence - sub annual and annual statistics | |||||||||||||||
[not requested] |
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8.5. Coherence - National Accounts | |||||||||||||||
[not requested] |
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8.6. Coherence - internal | |||||||||||||||
[not requested] |
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9.1. Dissemination format - News release | |||
[not requested] |
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9.2. Dissemination format - Publications | |||
[not requested] |
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9.3. Dissemination format - online database | |||
[not requested] |
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9.3.1. Data tables - consultations | |||
[not requested] |
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9.4. Dissemination format - microdata access | |||
[not requested] |
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9.5. Dissemination format - other | |||
[not requested] |
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9.6. Documentation on methodology | |||
[not requested] |
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9.7. Quality management - documentation | |||
[not requested] |
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9.7.1. Metadata completeness - rate | |||
[not requested] |
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9.7.2. Metadata - consultations | |||
[not requested] |
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11.1. Confidentiality - policy | |||
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11.2. Confidentiality - data treatment | |||
[not requested] |
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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. |
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Annexes WSTAT QR2020 |