Date (Creation)

2021-10-22

Citation identifier

gisco-services / https://gisco-services.ec.europa.eu/census/2021/INSPIRE/Data/CENSUS_INS21ES_A_EL_2021_0000

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Hellenic Statistical Authority (ELSTAT), Population, Employment and Cost of Living Statistics Division (B4)<br />Population and Migration Statistics Section (B41)		g.thymoglou@statistics.gr	Owner

Keywords

• EUROSTAT metadata

GEMET - INSPIRE themes, version 1.0

• Population distribution — demography

Access constraints

Other restrictions

Other constraints

Public access to spatial data sets and services would adversely affect the confidentiality of the proceedings of public authorities, where such confidentiality is provided for by law.

Access constraints

Other restrictions

Other constraints

No conditions apply to access and use

Use constraints

Other restrictions

Other constraints

No conditions apply to access and use

Spatial representation type

Vector

Distance

1000  metres

Language

English

Topic category

• Society

Begin date

2021-10-22

Reference system identifier

ETRS89-extended / LAEA Europe

Distribution format

Name	Version
Geopackage file(.gpkg)
GML	3.2.1
Text	CSV
Text	SDMX

OnLine resource

Protocol	Linkage	Name
WMTS	https://gisco-services.ec.europa.eu/cmaps/service?REQUEST=GetCapabilities&SERVICE=WMTS	ViewService (WMTS) of the Census 2021 data

OnLine resource

Protocol	Linkage	Name
ATOM	https://gisco-services.ec.europa.eu/census/2021/INSPIRE/Data/EL_PD_3035_CSV.zip	The compressed resource (CSV) file contains data and metadata

OnLine resource

Protocol	Linkage	Name
ATOM	https://gisco-services.ec.europa.eu/census/2021/INSPIRE/Data/EL_PD_3035_GML.zip	The compressed resource (GML) file contains spatial data and metadata

OnLine resource

Protocol	Linkage	Name
ATOM	https://gisco-services.ec.europa.eu/census/2021/INSPIRE/Data/EL_PD_3035_GPKG.zip	The compressed resource (GPKG) file contains spatial data and metadata

OnLine resource

Protocol	Linkage	Name
ATOM	https://gisco-services.ec.europa.eu/census/2021/INSPIRE/Data/EL_PD_3035_SDMX.zip	The compressed resource (SDMX) file contains spatial data and metadata

OnLine resource

Protocol	Linkage	Name
ATOM	https://gisco-services.ec.europa.eu/census/2021/INSPIRE/PD.atom	Downloadservice (ATOM-Feed) of all the various packages

Hierarchy level

Dataset

Statement

<p style="text-align: justify;">The methodology implemented for the 2021 Population and Housing Census was laid down in Law 4772/2021 (Government Gazette, Series I, No 17/5-2-2021) and in a relevant circular published by ELSTAT (Circular 1 “ General guidelines for the preparation, organisation and conduct of  the General Censuses”) taking into consideration international guidelines and practice and mainly the recommendations, guidelines and rules set out by Eurostat, in compliance with Regulation (EC) No 763/2008 of the European Parliament and of the Council on the Population and Housing Census, their Implementing Regulations (EU) 2017/543, (EU) 2017/881, (EU) 2017/712, (EU) 2018/1799, as well as with the methodological and organizational principles stipulated in the United Nations (UNECE) Recommendations for the 2020 Censuces of Population-Housing as well as relevant thematic Handbooks.<p style="text-align: justify;">According to the initial census design, the 2021 General Censuses were conducted using the traditional method, which is based on the direct enumeration of all individuals and the collection of information on their characteristics through a questionnaire. In the context of safeguarding public health and due to the adverse conditions arising from the coronavirus pandemic (Covid-19), ELSTAT designed and carried out the 2021 Population - Housing Census with a hybrid system, which initially provided for the electronic self-enumeration (with the help of the enumerators) of households through a dedicated online application. For those households that could not be self-enumerated, as well as for people living in refugee camps, nursing homes, hospitals, other collective households, etc., the Census was conducted through a personal or telephone interview in full compliance with the applicable public health protection measures. The obstacle related to the absence of (administrative or statistical) population register was overcome with the help of the enumerators who distributed a unique (geospatial) residence code to each household in their area of responsibility. The population was enumerated on the basis of these codes. <br />In the preparatory phase, the Buildings Census was conducted before the Population–Housing Census to collect information on the number of buildings, their use and characteristics in order to meet national requirements for statistical information. In addition to buildings characteristics, the 2021 Buildings Census enabled the geospatial location of buildings by locating the coordinates of buildings through an electronic application. Moreover, this application enabled the compilation of lists of buildings, locating the dwellings (inhabited and not) within each Census Sector. Subsequently, the Population Census was conducted on the basis of these lists. The Buildings Census was carried out by the Building Enumerators with the use of tablets. The location and the characteristics of each building were recorded through a specially designed online application, in a cloud database. Locational data were originally recorded in the WGS84 reference system through the use of tablets. The Buildings Enumerators visited on the spot each building block under their responsibility with the appropriate cartographic material, which was provided to them by ELSTAT and recorded, through the electronic application, the buildings located therein, their characteristics and use. Subsequently, this application produced the lists of buildings-dwellings, to which (dwellings) a unique residence code was assigned to be used for the conduct of the Population Census.<br />The questionnaires of the General Census were designed in accordance with the relevant EU law on Population and Housing Census and the guidelines and methodological recommendations of the United Nations, also taking into account the experience in the Census of ELSTAT staff, as well as the recommendations and proposals of the bodies involved in the relevant consultation. The Census questionnaire included all the mandatory variables set out in the European Regulation (EU) 763/2008 on Population and Housing Censuses, as well as variables that meet national requirements for statistical information. However, it was chosen not to include sensitive personal data (e.g. data on health status, religion, sexual orientation, etc.).<br />For the first time, as part of the Population Census, the Tax Identification Number (TIN) and the Social Security Register Number (AMKA) of each enumerated person were collected. The aim was to have a unique identification number for each individual, which will be used as a “key” for linking statistical data from the Population Census to administrative records data, according to the Digital Transformation Paper in Greece (Law 4727/2020) on the interoperability of administrative registers. The purpose is twofold. Firstly, linking the census variables with data from administrative registers, in order to check their quality in terms of identifying double recordings and any errors, to check full coverage of the population and secondly, to create the first Statistical Population Register from the results of the 2021 Census and to regularly update it from administrative data.<p style="text-align: justify;">According to the design of the 2021 Population - Housing Census, it was among the enumerators’ responsibilities to enter in the secure database of ELSTAT the data of the collected questionnaires, through an interview. In this way, along with the electronic self-enumeration, all the census data were incorporated into the ELSTAT database within a short period of time (a few days) after the end of the data collection and were ready to be processed. The electronic questionnaire of the Census had integrated automatic checks aimed at ensuring the collection of more complete and correct data. An important innovation of the 2021 Population - Housing Census was the development and implementation of an electronic project management and monitoring system. All operations were managed electronically. Therefore, for the first time it was possible in real-time during the data collection phase to monitor the process of their collection, as well as to check the completeness and correctness of the data collected, at the level of responsibility, in order to address non-response, or incorrect responses, etc. This allowed immediate action to be taken to resolve any issue that arose. At the end of the Census, quality and completeness checks were carried out in order to obtain the results of the Census. More specifically, in the first phase, a check was carried out with the “data clearing” procedure for cases of double-recording, records or variables missing, such as sex, checking the location of the enumerated persons as temporary guests, encoding the geographical code of their place of usual residence and transferring them to their usual residence. In addition, quality checks were carried out as regards the full coverage of the total population, using data from administrative sources. Data from administrative sources were used as a means of quality control and/or completion of missing values of the main demographic characteristics of the population, such as place of residence, sex, age, place of birth, citizenship, legal marital status, missing records, etc. The collection through the Census of the TIN and the AMKA numbers of the enumerated persons served as a “key” for the interconnection of the Census data with the data of administrative registers. In this context, administrative data were used for the first time by the Tax Authority of Greece (Independent Authority for Public Revenue - AADE) and the E-Government Center for Social Security (IDIKA), the Register of Citizens, the Registry Offices/Civil Registers, as well as additional data from other sources, such as the Ministry of Labour and Social Affairs for specific population groups (homeless persons, Roma). The quality control of the data also took into account vital statistics data (for identification of young children having not been enumerated or diseased persons who were initially enumerated), administrative data on the pupil/student population (as a means of control for the specific population group, as well as for their parents), as well as data from the labour force survey with regard only to the change in employment of foreigners. Moreover, for the quality checks and validation of the employment variables, various sources were used. More specifically, tax data for declared sources of income were used, along with microdata from the Information system ERGANI for private sector employees, from the Ministry of Education and Religious Affairs for the staff of the education sector, from the Census of Agricultural and Livestock Holdings for farmers and livestock farmers and from the Statistical Business Register for employers and own-account workers. In addition to the above mentioned measures for data validation, data from the Electricity Distribution Network Operator SA (DEDDIE) were used for the first time as a complementary source to validate the number of dwellings and dwelling status and to identify occupied dwellings that might not have been enumerated. Microdata on electricity consumption per electricity supply meter were analysed  and processed for the determination of an estimated proportion of occupied and unoccupied dwellings at the LAU level (Communes) for macro-level validation, through the development of a methodology for the determination of the thresholds used, based on combination of sources (census occupied dwellings, data from Household Budget Survey, literature review).<br />Also, a pilot study was conducted for selected representative Communes through linking of census dwellings with corresponding power consumption meters, for micro-level validation.<p style="text-align: justify;">Original collected buildings' coordinates may deviate from ± 15m up to ± 100m (eg. regarding  buildings inside a non-accessible, fenced landparcel) from the actual building location.   Positional location of the address point register used partially for readjustments may deviate up to ±15 meters of the actual building location. The address points used for georeferencing of the address referenced data, were calulated from a georeferenced polyline layer, linearly interpolated from known addresses at the crossroads. Census block centroid locations can not have any measure of positional accuracy, census blocks are digitized following well defined landmarks (streets, stream lines,  canals etc.) Peripheral census blocks tend to be less densely built, covering a wider area than the more central ones in a settlement. Digitizing scale of the census blocks boundaries is 1:.5000. Settlement centroid location (where used) refers to the most densely  built-up area of a settlement. Georeferencing the Greek population data covers the whole of the Greek territory. Detailed information about the data processing procedure that was followed is included in the Data Compilation section (18.5).The issues concerning the observance of statistical confidentiality by the Hellenic Statistical Authority (ELSTAT) are arranged by articles 7, 8 and 9 of the Law 3832/2010 as in force, by Articles 8, 10 and 11(2) of the Regulation on Statistical Obligations of the agencies of the Hellenic Statistical System and by Articles 10 and 15 of the Regulation on the Operation and Administration of ELSTAT.

More precisely:

ELSTAT disseminates the statistics in compliance with the statistical principles of the European Statistics Code of Practice and in particular with the principle of statistical confidentiality.

<a href=" https://www.statistics.gr/documents/20181/1609796/ELSTAT_Statistical_Confidentiality_Policy_EN.pdf/c79e5ac8-469c-433d-b4e6-8433319b21d2">https://www.statistics.gr/documents/20181/1609796/ELSTAT_Statistical_Confidentiality_Policy_EN.pdf/c79e5ac8-469c-433d-b4e6-8433319b21d2</a>

<span style="text-decoration: underline;">Protection of personal data</span>

ELSTAT abides by the commitments and obligations arising from the applicable EU and national legislation on the protection of the individual from the processing of personal data and the relevant decisions, guidelines and regulatory acts of the Hellenic Data Protection Authority.

Pursuant to the Regulation on the protection of natural persons with regard to the processing of personal data [Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (General Data Protection Regulation - GDPR)], ELSTAT implements the appropriate technical and organisational measures for ensuring adequate level of security against risks for the personal data it collects and has access to, in the context of carrying out its tasks, in order to meet the requirements of this Regulation and to protect these personal data from any unauthorised access or illegal processing.

The personal data collected by ELSTAT are used exclusively for purposes related to the conduct of surveys and the production of relevant statistics. Only ELSTAT has access to the data. The controller is the person appointed by law pursuant to the relevant provisions concerning the Legal Entities of Public Law and the Independent Authorities. The data are stored in the databases of ELSTAT for as long as required by the relevant legislation.

Legal basis of the processing: Article 6, para 1(c) and 1(d) of the General Data Protection Regulation (GDPR)

<a href=" https://www.statistics.gr/el/privacy-info">https://www.statistics.gr/el/privacy-info</a><ul>

<li>ELSTAT protects and does not disseminate data it has obtained or it has access to, which enable the direct or indirect identification of the statistical units that have provided them by the disclosure of individual information directly received for statistical purposes or indirectly supplied from administrative or other sources. ELSTAT takes all appropriate preventive measures so as to render impossible the identification of individual statistical units by technical or other means that might reasonably be used by a third party. Statistical data that could potentially enable the identification of the statistical unit are disseminated by ELSTAT if and only if:</li>

</ul>

          a) these data have been treated, as it is specifically set out in the Regulation on Statistical Obligations of the agencies of the Hellenic Statistical System (ELSS), in such a      

                way that their dissemination does not prejudice statistical confidentiality or<br />          b) the statistical unit has given its consent, without any reservations, for the disclosure of data.

<ul>

<li>The confidential data that are transmitted by ELSS agencies to ELSTAT are used exclusively for statistical purposes and the only persons who have the right to have access to these data are the personnel engaged in this task and appointed by an act of the President of ELSTAT.</li>

<li>ELSTAT may grant researchers conducting statistical analyses for scientific purposes access to data that enable the indirect identification of the statistical units concerned. The access is granted provided the following conditions are satisfied:<br /> <br /> a) an appropriate request together with a detailed research proposal in conformity with current scientific standards have been submitted;<br /> <br /> b) the research proposal indicates in sufficient detail the set of data to be accessed, the methods of analyzing them, and the time needed for the research;<br /> <br /> c) a contract specifying the conditions for access, the obligations of the researchers, the measures for respecting the confidentiality of statistical data and the sanctions in case of breach of these obligations has been signed by the individual researcher, by his/her institution, or by the organization commissioning the research, as the case may be, and by ELSTAT.</li>

<li>Issues referring to the observance of statistical confidentiality are examined by the Statistical Confidentiality Committee (SCC) operating in ELSTAT. The responsibilities of this Committee are to make recommendations to the President of ELSTAT on:

<ul>

<li> the level of detail at which statistical data can be disseminated, so as the identification, either directly or indirectly, of the surveyed statistical unit is not possible;</li>

<li> the anonymization criteria for the microdata provided to users;</li>

<li> the granting to researchers access to confidential data for scientific purposes.</li>

</ul>

</li>

<li>The staff of ELSTAT, under any employment status, as well as the temporary survey workers who are employed for the collection of statistical data in statistical surveys conducted by ELSTAT, who acquire access by any means to confidential data, are bound by the principle of confidentiality and must use these data exclusively for the statistical purposes of ELSTAT. After the termination of their term of office, they are not allowed to use these data for any purpose.</li>

<li>Violation of data confidentiality and/or statistical confidentiality by any civil servant or employee of ELSTAT constitutes the disciplinary offence of violation of duty and may be punished with the penalty of final dismissal.</li>

<li>ELSTAT, by its decision, may impose a penalty amounting from ten thousand (10,000) up to two hundred thousand (200,000) euros to anyone who violates the confidentiality of data and/or statistical confidentiality. The penalty is always imposed after the hearing of the defense of the person liable for the breach, depending on the gravity and the repercussions of the violation. Any relapse constitutes an aggravating factor for the assessment of the administrative sanction.</li>

<li>Pursuant to the Regulation on the protection of natural persons with regard to the processing of personal data [Regulation (EU) 2016/679 of the European Parliament and of the Council, of 27 April 2016 (General Data Protection Regulation - GDPR)], ELSTAT implements the appropriate technical and organisational measures for ensuring adequate level of security against risks for the personal data it collects and has access to, in the context of carrying out its tasks, in order to meet the requirements of this Regulation and to protect these personal data from any unauthorised access or illegal processing.</li>

</ul>

<p class="paragraphs"><strong>Data Security</strong>

<p class="paragraphs">The data of the 2021 Population-Housing Census are stored in a dedicated secure database, which includes all the collected variables. Access to the information contained in the database is subject to all the necessary and appropriate technical and organisational protection measures provided for in national and EU legislation in order to observe the statistical confidentiality of the data, in accordance with the provisions of the Law 3832/2010, and the files of the database is inaccessible from any other database in order to protect the data provided against any unauthorised or unlawful processing.

<p class="paragraphs"><strong>Confidentiality - 1 km² grid data</strong>

<p class="paragraphs">In the context of ensuring statistical confidentiality and in accordance with national and European legislation and its commitment to maintaining the trust of the respondents of the 2021 Population - Housing Census, ELSTAT has implemented all appropriate measures to protect the confidentiality of the data, in accordance with the recommendations of Eurostat.

<p class="paragraphs">Specifically, the Cell Key Method (CKM) was applied to the grid data of 2021 Population-Housing Census, in order to ensure the confidentiality of the data, as well as to preserve their characteristics and their usefulness, given that the impact of the method on the data is not significant.

The confidentiality method CKM ensures statistical confidentiality by adding or subtracting a small number to the grid cell values which are determined during the application of the method. As a result of the method, a percentage of the published values of the variables will differ slightly from the actual values. CKM protects each cell randomly and independently of each other, so additivity in not preserved, but protection is consistent because random perturbation of a specific cell depends on the units which contribute to the cell.

Metadata

File identifier

CENSUS_INS21ES_A_EL_2021_0000 XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2024-06-21T09:00:00

Metadata author

Organisation name	Individual name	Electronic mail address	Role
Hellenic Statistical Authority (ELSTAT), Population, Employment and Cost of Living Statistics Division (B4)<br />Population and Migration Statistics Section (B41)		g.thymoglou@statistics.gr	Point of contact