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National reference metadata

Czechia

Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.

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Census 2011 round (cens_11r)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Český statistický úřad

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31 March 2014

The EU programme for the 2011 population and housing censuses include data on persons, private households, family nuclei, conventional dwellings and living quarters

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

Data are available at different levels of geographical detail: national, NUTS2, NUTS3 and local administrative units (LAU2)

26 March 2011

Counts of statistical units

Zpracování dat

Data processing

Deduplication and prioritisation followed data linking. Prioritisation represented the selection of a particular indicator in cases where a given record/item was available from multiple sources. In principle, priority was given to data from forms over data from an administrative source, where the datum on a form was not evidently nonsensical. A series of checks served to assess the meaningfulness of data. Following deduplication and prioritisation a set of data records was formed to go into further processing.

Data processing included:

a) Data coding (subsequent scanning and digitisation of forms, text recognition, verification, validation and export to the processing database), deduplication and prioritisation of records and individual data.

b) Feasibility checks evaluated the input values in respect of expected value intervals, or codes in the relevant table. Corrections to inadmissible values were made using autocorrection.

c) Stating the usual residence of people was crucial for data processing. Based on questions in the form and the permanent residence address taken from an administrative source a specific address was derived to serve as the basis of further processing and the basis for preparing outputs for the usual place of residence of the inhabitants.

d) According to the normal residence address further data records were linked for persons, dwellings and buildings. In the Census form - dwelling information was determined in the field on relations within a functioning household. After data records were linked these declared relations were verified (forming the basic input for determining the type of household, or family). In the case of missing information on relations within a functioning household, these relations were constructed using information from an administrative source. Within this processing subsystem duplicates of building and dwelling records were also evaluated.

e) A process of logical checks verified the data logic for mutual relationships, both within a single entity (responses from a single form) and within two entities (e.g. the logic relationships between data on dwellings and data for a particular building). Logical checks were aimed mainly at improving data quality. Repairs or removal were done using autocorrection.

f) So-called indicator derivation secured the transformation of input data into output, evaluated missing responses and processed new information according to prescribed algorithms. Derivation was integrated with the SMS subsystem, which was the source of metadata descriptions for the individual transformations. The independent algorithm was for deriving the kind of household, or family in the case of people living in the household. Outside households there were the homeless and those in institutions (these persons did not meet the conditions for a functioning household). Processed independently were data on so-called commuters flows which are vectors of two territorially differing addresses with counted frequencies of the characteristics of working people or school pupils, students and apprentices commuting from their place of residence to a workplace or school.

Following the populating of the processing database with data, the processing of pre-defined outputs followed – for publication output or website presentation.

Data on population and housing censuses are disseminated every decade

Census Day 26.3.2011, data transfer data (hypercubes) 31.3.2014. Time interval between data availability and census date 1101 days (27 months, as defined in European Parliament and Council (EC) Regulation No. 763/2008, Art. 5).

Data transferred by the CZSO are fully comparable across all territorial levels. All processing was performed on the basis of EU standards in respect of census scope, definitions, unit and classifications.