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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Instituto Nacional de Estatística, IP |
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1.2. Contact organisation unit | Gabinete dos Censos 2021 |
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1.5. Contact mail address | Avenida António José de Almeida 1000 -043 Lisboa Portugal |
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2.1. Metadata last certified | 20/02/2014 | ||
2.2. Metadata last posted | 20/02/2014 | ||
2.3. Metadata last update | 25/02/2014 |
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3.1. Data description | |||
Not available. |
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3.2. Classification system | |||
ISCO-08, NACE Rev. 2, ISOALPHA |
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3.3. Coverage - sector | |||
3.4. Statistical concepts and definitions | |||
3.4.1. Statistical concepts and definitions - Usual residence Usual residence means the place where a person normally spends the daily period of rest, regardless of temporary absences for purposes of recreation, holidays, visits to friends and relatives, business, medical treatment or religious pilgrimage. Sex of each person. 3.4.3. Statistical concepts and definitions - AgeThe age reached at the reference date (in completed years). 3.4.4. Statistical concepts and definitions - Marital statusMarital status is the (legal) conjugal status of an individual in relation to the marriage laws of the country (de jure status). 'Registered partnerships' are reported only by countries that have a legal framework regulating partnerships that: In countries where the legislation includes provisions for married partners to be 'legally separated', such 'legally separated' persons are classified under 'married'. Portuguese legislation establishes/allows: - 16 years old as the minimum age for marriage. However, until the majority age (18 years) is required permission from parents or legal guardian; - Same-sex marriages, since June 2010; - Divorce, since 1910; - the legal concept of “Separation of persons and goods” which extinguishes the duties of cohabitation and support between spouses, but does not dissolve the marriage - people remain married. The concept of "registered partnership" does not exist in Portuguese legislation. 3.4.5. Statistical concepts and definitions - Family statusThe family nucleus is defined in the narrow sense, that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children, or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is between parents and children. Portugal applies the housekeeping concept to identify private households. 1. Housekeeping concept Relationships between household members were identified through a specific questionnaire: Household questionnaire. There were four questions for each person: 1 – Relationship to the Head of household; 2 - Spouse/partner identification; 3 - Father identification; 4 - Mother identification. Households and family nucleus are generated from the information gathered in the household questionnaire. The observation of the household relationship with the head of household jointly with the identification of the spouse/partner, of the father and the mother for all persons who are thus related in the household, makes possible to build the whole identification structure for the different types of households and family nucleus. The category 'Persons living in a private household' comprises 'Persons in a family nucleus' and 'Persons not in a family nucleus'. The category 'Persons in a family nucleus' comprises all persons who belong to a private household that contains a family nucleus of which they are a member. 'Persons not in a family nucleus' comprises all persons who either belong to a non-family household or to a family household without being member of any family nucleus in that household. Current activity status' is the current relationship of a person to economic activity, based on a reference period of one week, which may be either a specified, recent, fixed, calendar week, or the last complete calendar week, or the last seven days prior to enumeration. Occupation' refers to the type of work done in a job (that is the main tasks and duties of the work). Persons doing more than one job are allocated an occupation based on their main job, which is identified according to the time spent on the job or, if not available, to the income received. Industry (branch of economic activity) is the kind of production or activity of the establishment (or similar unit) in which the job of a currently economically active person is located. An 'employee' is a person who works in a 'paid employment' job, that is a job where the explicit or implicit contract of employment gives the incumbent a basic remuneration, which is independent of the revenue of the unit for which he/she works. The location of the place of work is the geographical area in which a currently employed person does his/her job. 'Educational attainment' refers to the highest level successfully completed in the educational system of the country where the education was received. All education which is relevant to the completion of a level is taken into account even if this was provided outside schools and universities. A locality is defined as a distinct population cluster, that is an area defined by population living in neighbouring or contiguous buildings. Such buildings may either: Place of birth is defined as the place of usual residence of the mother at the time of the birth, or, if not available, as the place in which the birth took place. Citizenship is defined as the particular legal bond between an individual and his/her State, acquired by birth or naturalisation, whether by declaration, option, marriage or other means according to the national legislation. The year of arrival is the calendar year in which a person most recently established usual residence in the country. The data for 2011 refer to the time span between 1 January 2011 and the reference date. 3.4.17. Statistical concepts and definitions - Residence one year beforeThis indicates the relationship between the current place of usual residence and the place of usual residence one year prior to the census. Children under one year of age are classified under 'Not applicable'. The topic 'Housing arrangements' covers the whole population and refers to the type of housing in which a person usually resides at the time of the census. This covers all persons who are usual residents in different types of living quarters, or who do not have a usual residence and stay temporarily in some type of living quarters, or who are roofless, sleeping rough or in emergency shelters, when the census is taken. The family nucleus is defined in the narrow sense, that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children, or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is between parents and children. The family nucleus is defined in the narrow sense, that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children, or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is between parents and children. Private households may be defined according to the 'housekeeping concept' , or, if this is not possible, Member States may apply the 'household-dwelling' concept. Private households may be defined according to the 'housekeeping concept' , or, if this is not possible, Member States may apply the 'household-dwelling' concept. The topic 'Tenure status of households' refers to the arrangements under which a private household occupies all or part of a housing unit. 'Conventional dwellings' are structurally separate and independent premises at fixed locations which are designed for permanent human habitation and are, at the reference date, either used as a residence, or vacant, or reserved for seasonal or secondary use. 'Occupied conventional dwellings' are conventional dwellings which are the usual residence of one or more persons at the time of the census. 'Unoccupied conventional dwellings' are conventional dwellings which are not the usual residence of any person at the time of the census. The topic 'Type of ownership' refers to the ownership of the dwelling and not to that of the land on which the dwelling stands. The number of occupants of a housing unit is the number of people for whom the housing unit is the usual residence. 3.4.28. Statistical concepts and definitions - Useful floor spaceUseful floor space is defined as the floor space measured inside the outer walls excluding non-habitable cellars and attics and, in multi-dwelling buildings, all common spaces; or the total floor space of rooms falling under the concept of 'room'. 3.4.29. Statistical concepts and definitions - Number of roomsA 'room' is defined as a space in a housing unit enclosed by walls reaching from the floor to the ceiling or roof, of a size large enough to hold a bed for an adult (4 square metres at least) and at least 2 metres high over the major area of the ceiling. 3.4.30. Statistical concepts and definitions - Density standard (floor space)The topic ‘Density standard’ relates the useful floor space in square metres or the number of rooms to the number of occupants, as specified under the topic 'Number of occupants'. The topic ‘Density standard’ relates the useful floor space in square metres or the number of rooms to the number of occupants, as specified under the topic 'Number of occupants'. Water supply sytem means piped water in the housing unit from a community scheme or from a private source. 3.4.33. Statistical concepts and definitions - Toilet facilitiesToilet facilities means a flush toilet in the housing unit. 3.4.34. Statistical concepts and definitions - Bathing facilitiesA bathing facility is any facility designed to wash the whole body and includes shower facilities, which has fixed connections to both a water supply and a sewage disposal system. 3.4.35. Statistical concepts and definitions - Type of heatingA housing unit is considered as centrally heated if heating is provided either from a community heating centre or from an installation built in the building or in the housing unit, established for heating purposes, without regard to the source of energy. 3.4.36. Statistical concepts and definitions - Type of buildingThe topic 'Dwellings by type of building' refers to the number of dwellings in the building in which the dwelling is placed. 3.4.37. Statistical concepts and definitions - Period of constructionThe topic 'Dwellings by period of construction' refers to the year when the building in which the dwelling is placed was completed. |
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3.5. Statistical unit | |||
The EU programme for the 2011 population and housing censuses include data on persons, private households, family nuclei, conventional dwellings and living quarters |
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3.6. Statistical population | |||
Persons enumerated in the 2011 census are those who were usually resident in the territory of the reporting country at the census reference date. Usual residence means the place where a person normally spends the daily period of rest, regardless of temporary absences for purposes of recreation, holidays, visits to friends and relatives, business, medical treatment or religious pilgrimage |
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3.7. Reference area | |||
Data are available at different levels of geographical detail: national, NUTS2, NUTS3 and local administrative units (LAU2) |
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3.8. Coverage - Time | |||
Data refer to the situation in the reporting country at the census reference date (see item 5) |
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3.9. Base period | |||
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Counts of statistical units |
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21/03/2011 |
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6.1. Institutional Mandate - legal acts and other agreements | |||
Common reminder of EU legislation |
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6.1.1. Bodies responsible | |||
The 2011 Census is governed by specific legislation - Decree-Law 226/2009 of 14 September 2009 defining the powers and responsibilities of the various parties involved in the census operation. The Temporary 2011 Census Board (Secção Eventual para Acompanhamento dos Censos, 2011 – SEAC2011) of the Higher Statistical Council is the main body responsible for steering and coordinating the 2011 Census; The National Statistical Institute (INE, IP) is responsible for devising and administering census-taking activities at central, regional and local level; The Azores Regional Statistical Service and the Madeira Regional Statistical Directorate are responsible for coordinating and implementing the census operation in their respective Autonomous Regions; The Municipal Chambers are responsible for organising, coordinating and monitoring census tasks within their area of jurisdiction; The Parish Councils ensure performance of census-taking operations within their geographical areas. |
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6.2. Institutional Mandate - data sharing | |||
Not available. |
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7.1. Confidentiality - policy | |||
Article 6 of Law No 22/2008 of 13 May 2008, laying down the principles, rules and structure of the national statistical system, refers to the principle of statistical confidentiality and states that all individual data concerning individuals or groups gathered by the statistical authorities are confidential in nature and may not be disseminated in such a way as to permit direct or indirect identification. Article 20, "Confidentiality", of Decree-Law No 226/2009 of 14 September 2009 (which lays down the rules to be obeyed by the 2011 Census) states that individual statistical data collected in the framework of the 2011 Census are subject to the principle of statistical confidentiality, constituting a professional secret for all persons who are involved in these statistical operations and have awareness of those data pursuant to Article 6 of Law No 22/2008 of 13 May 2008. |
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7.2. Confidentiality - data treatment | |||
In Portugal, the dissemination programme for the 2011 Census is approved by the Higher Statistical Council. This programme provide over 100 tables showing the data broken down to parish level: these tables are not subject to the statistical confidentiality rules for data processing. Some procedures approved internally are also followed for requests outside the dissemination programme: these limit the number of variables that can be cross-classified, taking account of the geographical breakdown. The greater the geographical breakdown, the smaller the number of variables that can be cross-classified. A maximum of eight variables can be cross-classified at national geographical level, and a maximum of three at parish geographical level. |
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8.1. Release calendar | |||
Data are made available 27 months after the end of the reference period (March 2014) |
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8.2. Release calendar access | |||
8.3. Release policy - user access | |||
Conditions of accessibility to statistical information: Access to official statistics is free of charge, unless further processing of the information is required; Access to statistical information is guaranteed to all users simultaneously; The Official Statistics Portal (www.ine.pt) is the principal means of dissemination of statistical information: all official statistics are disseminated here first hand. The official statistical information disseminated is accompanied by the relevant metadata. For the 2011 census a dissemination programme was developed around three main objectives: - Simplification of access to Census information, with priority given to making data available on the Official Statistics Portal; - Rapidity in availability of the information - the results of the2011 Census were made available in three stages: Preliminary results, Provisional results and Definitive results; - Increase in the range of dissemination products on offer – focus on diversifying dissemination products. |
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Data on population and housing censuses are disseminated every decade |
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10.1. Dissemination format - News release | |||
10 press releases were issued containing exclusive information about the 2011 Census: Censos 2011 – Resultados Preliminares - 30 junho de 2011 Censos 2011 – Parque habitacional (Resultados pré-provisórios) 8 novembro de 2011 Censos 2011 – Resultados Provisórios – 7 dezembro de 2011 Censos 2011 – Resultados Pré-definitivos – 3 fevereiro de 2012 Censos 2011 – Resultados definitivos - População cresce 2% na última década – 20 novembro 2012 Censos 2011 - População estrangeira cresceu 70% na última década - 17 dezembro de 2012 Censos 2011 – O Perfil do Pai que vive com os filhos – 18 março de 2013 Censos 2011 – Comunidade Brasileira é a maior comunidade estrangeira em Portugal - 19 abril de 2013 Censos 2011 – O retrato da Mãe que vive com os Filhos - 5 maio 2013 Censos 2011 - Como evoluíram as famílias em Portugal? – 20 novembro de 2013 Annexes: Censos 2011 – Resultados Preliminares Censos 2011 – Parque habitacional (resultados pré-provisórios) Censos 2011 - Resultados provisórios Censos 2011 – Resultados Pré-definitivos Censos 2011 – Resultados definitivos - População cresce 2% na última década Censos 2011 - População estrangeira cresceu 70% na última década Censos 2011 – O Perfil do Pai que vive com os filhos Censos 2011 – Comunidade Brasileira é a maior comunidade estrangeira em Portugal Censos 2011 – O retrato da Mãe que vive com os Filhos Censos 2011 - Como evoluíram as famílias em Portugal |
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10.2. Dissemination format - Publications | |||
Eight publications were issued containing the results of the 2011 Census (1 national and 7 regional - NUTSII). In addition to the traditional tables and statistical diagrams, the publications included a data analysis component. A publication containing the metadata associated with the 2011 Census was also issued. All of the publications are available online and in hard copy. List of publications: Censos 2011 – Resultados definitivos – Portugal, Instituto Nacional de Estatística, IP, Lisboa, Portugal 2012 Censos 2011 – Resultados definitivos – Região Norte, Instituto Nacional de Estatística, IP, Lisboa, Portugal 2012 Censos 2011 – Resultados definitivos – Região Centro, Instituto Nacional de Estatística, IP, Lisboa Portugal 2012 Censos 2011 – Resultados definitivos – Região de Lisboa, Instituto Nacional de Estatística, IP, Lisboa Portugal 2012 Censos 2011 – Resultados definitivos – Região Alentejo, Instituto Nacional de Estatística, IP, Lisboa, Portugal 2012 Censos 2011 – Resultados definitivos – Região Algarve, Instituto Nacional de Estatística, IP, Lisboa, Portugal 2012 Censos 2011 – Resultados definitivos – Região da Madeira, Instituto Nacional de Estatística, IP, Lisboa, Portugal 2012 Censos 2011 – Resultados definitivos – Região dos Açores, Instituto Nacional de Estatística, IP, Lisboa, Portugal 2012 Censos 2011 – Preparação, metodologia e conceitos – Instituto Nacional de Estatística, IP, Lisboa, Portugal 2013 Annexes: Censos 2011 – Resultados definitivos – Portugal Censos 2011 – Resultados definitivos – Região Norte Censos 2011 – Resultados definitivos – Região Centro Censos 2011 – Resultados definitivos – Região de Lisboa Censos 2011 – Resultados definitivos – Região Alentejo Censos 2011 – Resultados definitivos – Região Algarve Censos 2011 – Resultados definitivos – Região da Madeira Censos 2011 – Resultados definitivos – Região dos Açores Censos 2011 – Preparação, metodologia e conceitos |
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10.3. Dissemination format - online database | |||
Information on the 2011 Census is available on the INE's Official Statistics Portal (www.ine.pt), in an online database containing over 400 statistical indicators down to Parish geographical level. Annexes: Base de dados online |
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10.4. Dissemination format - microdata access | |||
The 2011 Census provides a sample of anonymised microdata made up of randomly selected records of 5% of the resident individuals. Given that the microdata consist of individualised information files, the sample is anonymised and the data processed in such a way as to guarantee not only their confidentiality but also their quality. This sample is only available to accredited researchers and as part of the IPUMS project. |
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10.5. Dissemination format - other | |||
BGRI Censos 2011 - This application enables users to consult the Geographical Information Referencing Database (Base Geográfica de Referenciação da Informação – BGRI 2011) and download any territorial unit with associated statistical information. The statistical indicators available are the following: Resident population, present population, households, dwellings and buildings. 2011 Census summary file - consists of aggregators for a series of predefined variables at the smallest geographical level (statistical subsection). This enables users to map these variables. Annexes: Censos 2011 - BGRI Censos 2011 - Ficheiro Síntese |
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11.1. Documentation on methodology | |||
Action programme for the 2011 Census - document providing a framework for the census operation and setting out the objectives, guidelines, variables to observe and a summary of the main activities to be combined for the performance of the census. Methodological document for the2011 Census - document describing the methodological aspects of the census-taking operation. Annexes: Plano de ação para os Censos 2011 Documento metodológico dos Censos 2011 |
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11.2. Quality management - documentation | |||
Censos 2011 - Programa de controlo e avaliação da qualidade - Controlo do processo produtivo Censos 2011 - Inquérito de qualidade: metodologia e resultados Annexes: Censos 2011 - Programa de controlo e avaliação da qualidade - Processo produtivo Censos 2011 - Inquérito de Qualidade |
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12.1. Quality assurance | |||
The performance of operations for the 2011 Census was accompanied by a far-reaching quality control and assessment programme. This programme concentrated on the following two areas: - Quality control in the productive process; - Performance of a quality survey. Quality control in the productive process included the implementation of mechanisms to verify and monitor key points throughout the productive process that had the potential to compromise the quality of the results of the censuses. The quality of the results was assessed by means of a quality survey, conducted independently at the end of the data-gathering operation with the aim of quantifying the errors in the coverage and content of the census-taking operation. In order to ensure greater independence and transparency in the assessment of the 2011 Census, the INE, IP received support from higher education institutions: ISCTE - Lisbon University Institute, for the quality control in the productive process, and ISEGI – NOVA School of Statistics and Information Management for the quality survey. |
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12.2. Quality management - assessment | |||
12.2.1. Coverage assessment | |||
The methodology associated with the control and assessment of the productive process concentrated on identifying and monitoring key processes to guarantee effective performance of the work in the field and the quality of the information collected. The following key processes for the control of quality assessment in the productive process are of particular note: 1) Human resources 2) Fieldwork - distribution and collection 3) Treatment of data The strategic guidelines associated with each of these processes were developed by making use of the Balanced Scorecard tool. This tool makes it possible to realise the vision and strategic objectives associated with a given process and at the same time define measurable monitoring indicators. The use of a fieldwork monitoring system (Sistema de Controlo de Trabalho de Campo - SCTC) made it possible to systematise and monitor all of the processes related to the management and monitoring of human resources and fieldwork at national, regional and local levels. 1 – Human resources Ensure that each of the levels of the executive structure involved in the process fulfils the requirements and has the capacity needed for correct performance of its tasks: human resources are the key to correct implementation of the procedures. Main measures implemented: Definition of profiles in accordance with specified powers and responsibilities Selection of candidates via pre-selection tests Training programme and supporting documentation Implementation of a technical evaluation sheet 2 - Fieldwork In addition to the monitoring indicators related to compliance with distribution and collection deadlines, a procedure enabling individualised monitoring of census enumerators' work was implemented in the form of a re-survey of a sample of dwellings (5%), based on a second observation by the coordinator and consisting of a set of three questions. A system of alert indicators was implemented, constituting a tool based on the anticipated values for the statistical units to be observed in the 2011 Census. Implementation of that system made it possible to obtain information on possible anomalies in the collection process and establish their probable cause. It was thus possible to monitor the distribution and collection process in real time, which made it possible to make adjustments or implement corrective measures with a view to guaranteeing the quality principles that must guide the performance of a census-taking operation. The system of alert indicators was based on the anticipated values calculated for the "dwellings" and "persons" statistical units with geographical breakdown at parish level. Whenever deviations were found from the anticipated values, the situation was investigated and the corresponding explanation provided. Main measures implemented: Performance of individual controls Preparation and assessment of progress reports Assessment of files and maps used to monitor fieldwork Assessment of maps used to monitor deviations Alert map (identification of areas in accordance with the risk/difficulty of performing the operation) 3) Treatment of data Various quality control and monitoring indicators were implemented at the various stages of the process (preparation of questionnaires, optical recognition, validation, coding, etc.) Main measures implemented: Assessment of control maps (application - workflow) Selection of sample (2%) for checking at some stages of the process |
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12.2.2. Post-enumeration survey(s) | |||
The 2011 Census Quality Survey was an autonomous and independent statistical operation during which some of the statistical units observed in the 2011 Census were re-surveyed. The main aims of the Quality Survey were to assess errors in coverage and in content for a set of variables. The 2011 Census Quality Survey was carried out once the collection of census data was complete and made use of probability samples from parishes, statistical sections and housing units, corresponding to 1.8 % of the total number of dwellings covered. It covered the whole of the national territory and was representative at NUTS II level for a set of variables. Data were collected exclusively via face-to-face interviews carried out by teams other than those used for the 2011 Census. The same questionnaires were used, although the number of questions was restricted to those that are mandatory pursuant to the EU regulations. The methodology and results of the Quality Survey are contained in the publication :Censos 2011 – Inquérito de Qualidade: metodologia e resultados – (2011 Censuses - Quality survey: methodology and results) Portugal, Instituto Nacional de Estatística, IP, Lisbon, Portugal 2013 Annexes: Censos 2011 - Inquérito de qualidade: metodologia e resultados |
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13.1. Relevance - User Needs | |||
The census data disseminated by Eurostat are addressed to policy makers, researchers, media and the general public. |
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13.2. Relevance - User Satisfaction | |||
No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service. |
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13.3. Completeness | |||
Depends on the availability of data transmitted by the National Statistical Institutes. |
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14.1. Accuracy - overall | |||
14.1.1. Accuracy overall - Usual residence There are no particular reasons for data unreliability for this topic 14.1.2. Accuracy overall - SexThere are no particular reasons for data unreliability for this topic 14.1.3. Accuracy overall - AgeThere are no particular reasons for data unreliability for this topic 14.1.4. Accuracy overall - Marital statusThere are no particular reasons for data unreliability for this topic 14.1.5. Accuracy overall - Family statusThere are no particular reasons for data unreliability for this topic 14.1.6. Accuracy overall - Household statusThere are no particular reasons for data unreliability for this topic 14.1.7. Accuracy overall - Current activity statusThere are no particular reasons for data unreliability for this topic 14.1.8. Accuracy overall - OccupationThere are no particular reasons for data unreliability for this topic 14.1.9. Accuracy overall - IndustryThere are no particular reasons for data unreliability for this topic 14.1.10. Accuracy overall - Status in employmentThere are no particular reasons for data unreliability for this topic 14.1.11. Accuracy overall - Place of workThere are no particular reasons for data unreliability for this topic 14.1.12. Accuracy overall - Educational attainmentThere are no particular reasons for data unreliability for this topic 14.1.13. Accuracy overall - Size of the localityThere are no particular reasons for data unreliability for this topic 14.1.14. Accuracy overall - Place of birthThere are no particular reasons for data unreliability for this topic 14.1.15. Accuracy overall - Country of citizenshipThere are no particular reasons for data unreliability for this topic 14.1.16. Accuracy overall - Year of arrival in the countryThere are no particular reasons for data unreliability for this topic 14.1.17. Accuracy overall - Residence one year beforeThere are no particular reasons for data unreliability for this topic 14.1.18. Accuracy overall - Housing arrangementsThere are no particular reasons for data unreliability for this topic 14.1.19. Accuracy overall - Type of family nucleusThere are no particular reasons for data unreliability for this topic 14.1.20. Accuracy overall - Size of family nucleusThere are no particular reasons for data unreliability for this topic 14.1.21. Accuracy overall - Type of private householdThere are no particular reasons for data unreliability for this topic 14.1.22. Accuracy overall - Size of private householdThere are no particular reasons for data unreliability for this topic 14.1.23. Accuracy overall - Tenure status of householdThere are no particular reasons for data unreliability for this topic 14.1.24. Accuracy overall - Type of living quarterThere are no particular reasons for data unreliability for this topic 14.1.25. Accuracy overall - Occupancy statusThere are no particular reasons for data unreliability for this topic 14.1.26. Accuracy overall - Type of ownershipThere are no particular reasons for data unreliability for this topic 14.1.27. Accuracy overall - Number of occupantsThere are no particular reasons for data unreliability for this topic 14.1.28. Accuracy overall - Useful floor spaceThere are no particular reasons for data unreliability for this topic 14.1.29. Accuracy overall - Number of roomsThere are no particular reasons for data unreliability for this topic 14.1.30. Accuracy overall - Density standard (floor space)There are no particular reasons for data unreliability for this topic 14.1.31. Accuracy overall - Density standard (number of rooms)There are no particular reasons for data unreliability for this topic 14.1.32. Accuracy overall - Water supply systemThere are no particular reasons for data unreliability for this topic 14.1.33. Accuracy overall - Toilet facilitiesThere are no particular reasons for data unreliability for this topic 14.1.34. Accuracy overall - Bathing facilitiesThere are no particular reasons for data unreliability for this topic 14.1.35. Overall accuracy - Type of heatingThere are no particular reasons for data unreliability for this topic 14.1.36. Overall accuracy - Type of buildingThere are no particular reasons for data unreliability for this topic 14.1.37. Overall accuracy - Period of constructionThere are no particular reasons for data unreliability for this topic |
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14.2. Sampling error | |||
14.3. Non-sampling error | |||
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15.1. Timeliness | |||
All hypercubes (HC01 to HC60) were available by 26 November 2013. |
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15.2. Punctuality | |||
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16.1. Comparability - geographical | |||
There are no national practices which could impair the EU-wide comparability. |
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16.2. Comparability - over time | |||
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17.1. Coherence - cross domain | |||
Figures provided by the National Statistical Institutes in the framework of the 2011 Population and Housing Census may differ from those transmitted in other statistical domains due to the cross domain differences in definitions and methodologies used. For additional information please see metadata specific to each domain. |
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17.2. Coherence - internal | |||
Internal coherence is assured by regulations defining breakdowns and definitions of topics (Regulation (EC) No 1201/2009, Regulation (EU) No 519/2010, Regulation (EU) No 1151/2010) |
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Restricted from publication |
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19.1. Data revision - policy | |||
Under the dissemination plan for the 2011 Census, the results were made available in three stages: • Preliminary results, available in June 2011 • Provisional results, available in December 2011 • Definitive results, available in November 2012 The thinking behind this model for dissemination of the census results made it possible to bring forward the availability of the census figures for a series of variables before completion of the data-processing procedure, thus being able to meet the users' principal needs. The information disseminated was already sufficiently coherent when it was made available, with the quantity of information continuing to increase until the final version (definitive results). Furthermore, the results for any given stage replaced those made available during the stage immediately prior. |
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19.2. Data revision - practice | |||
Nothing to report.
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20.1. Source data | |||
20.1.1. List of data sources | |||
20.1.1.1. List of data sources - data on persons | |||
Census questionnaires. |
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20.1.1.2. List of data sources - data on households | |||
Census questionnaires. |
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20.1.1.3. List of data sources - data on family nuclei | |||
Census questionnaires. |
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20.1.1.4. List of data sources - data on conventional dwellings | |||
Census questionnaires. |
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20.1.1.5. List of data sources - data on living quarters | |||
Census questionnaires. |
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20.1.2. Classification of data sources | |||
20.1.2.1. Classification of data sources - data on persons | |||
01.Conventional censuses | |||
20.1.2.2. Classification of data sources - data on households | |||
01.Conventional censuses | |||
20.1.2.3. Classification of data sources - data on family nuclei | |||
01.Conventional censuses | |||
20.1.2.4. Classification of data sources - data on conventional dwellings | |||
01.Conventional censuses | |||
20.1.2.5. Classification of data sources - data on living quarters | |||
01.Conventional censuses | |||
20.2. Frequency of data collection | |||
Data on population and housing censuses are collected every decade, in a reference year that falls during the beginning of every decade |
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20.3. Data collection | |||
The collection model used an approach based on three levels of responsibility: National (INE), Regional (INE local offices and services of the Autonomous Regions) and Local (Municipal Chambers and Parish Councils). A hierarchical operating structure also exists at local level, with enumerators forming the base. For the 2011 Census the methodology used for information collection involved distribution and collection by the enumerator, with self-completion of the questionnaires. For the first time in Portugal responses were provided over the Internet (e-Censuses) through a secure authentication system. The fieldwork followed the schedule shown below: Distribution of the questionnaires: This phase lasted two weeks from 7 to 20 March 2011. Census day: 21 March 2011 Collection period – This phase lasted five weeks from 21 March to 24 April. The collection was organised in three stages in accordance with the collection methods available (1st week – collection on the internet only; 2nd and 3rd weeks – Simultaneous collection (internet and paper questionnaires), 4th and 5th weeks – Collection of paper questionnaires) Distribution of the questionnaires was supported by the Geographical Information Referencing Database (BGRI2011), which enabled effective data collection in the field and subsequently made it possible to disseminate statistical information at detailed geographical levels, particularly at the level of small statistical areas. The Fieldwork Monitoring System (SCTC) made it possible to systematise, standardise and monitor the whole process of distribution and collection of the questionnaires. Available online to the parties involved at all levels, it enabled users to obtain detailed, real-time information on the progress of the work at national, regional or local level. |
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20.4. Data validation | |||
The final analysis of the consistency of the data involved implementation of various types of rules in order to verify the consistency of the data at different levels. Accordingly, various types of rules were defined: Rules applied to identify responses falling outside the range of values considered acceptable for the question; Rules to identify inconsistencies resulting from the incorrect completion of variables; Rules to define situations where the responses are inconsistent compared to other responses within the same statistical unit (intra-register rules) or by comparison to other statistical units (inter-register rules). Warning rules, aimed at evaluating the veracity of the responses; these are identified as situations which, while within the realm of possibility, are "strange" and must therefore be properly analysed. Following the corrections stage the database was consulted again, using a wide range of queries to confirm its overall consistency. |
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20.5. Data compilation | |||
Between the collection of the questionnaires and the dissemination of the results, the data from the 2011 Census were subject to a series of treatment processes that can be grouped into four stages. 1. Optical reading Included the preparation of the questionnaires, involving verification and manual correction to the hierarchical and sequential ranking structure of the statistical units gathered on paper. Digitalisation involved creation of images of the paper originals. The information was automatically recognised using ICR/OCR/OMR (Intelligent Character Recognition/Optical Character Recognition/Optical Mark Recognition) technologies. 2. Processing During this stage the numerical characters that had not been recognised were processed and corrected and the validation rules defined for the fields containing such characters were checked. The information gathered online was combined with the data from the paper questionnaires for further treatment. During the validation of the hierarchy and numbering the hierarchy rules applicable to the questionnaires were validated. During the intra-questionnaire validation and processing of alphabetical characters, the following were validated and corrected: the alphabetical characters in open questions; erroneous and duplicated markings; some validation rules. Problematic records were submitted to operators for manual correction. During the sub-phase of validation and corrections of relationships any inconsistencies detected in the relationships between household members were addressed. During this sub-phase, the "Age" variable was also validated. Expressions from open questions (countries, professions, etc.) were automatically coded using dictionaries and coding tables. The system compared the expressions against those appearing in the dictionary; if the expression corresponded to the dictionary it was coded, if the expression was not recognised the record was returned to the operator for manual coding. 3. Automatic corrections During the deterministic corrections sub-phase the consistency of the variables was assessed using a wide range of validation rules. Inconsistencies were addressed by means of deterministic corrections. The "item non response imputation" sub-phase was intended to fill in gaps in the information by drawing on the rest of the information in the questionnaire or information from other questionnaires. Some variables were subject to deterministic imputation and others were imputed by Hot-deck. 4. Derived variables and specialisation During this phase the derived variables resulting from the combination of information from one or more primary variables were calculated. |
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20.6. Adjustment | |||
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