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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Lithuania |
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1.2. Contact organisation unit | Population Census and Survey Organization Division |
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1.5. Contact mail address | 29 Gedimino Ave, LT-01500 Vilnius, Lithuania |
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2.1. Metadata last certified | 31/03/2014 | ||
2.2. Metadata last posted | 06/02/2014 | ||
2.3. Metadata last update | 06/02/2014 |
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3.1. Data description | |||
There are no particular reasons for data unreliability for this topic |
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3.2. Classification system | |||
The census data disseminated by Eurostat are addressed to policy makers, researchers, media and the general public. |
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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. Male, female. 3.4.3. Statistical concepts and definitions - AgeA bathing facility is any facility designed to wash the whole body and includes shower facilities. 3.4.4. Statistical concepts and definitions - Marital statusIndustry (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. '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. The housekeeping concept was used for defining the household. The household refers to a person living alone or a group of persons sharing the same dwelling and expenditure, including collective provision of necessities of life. A household is often comprised of more than one family as well as by persons who are not in kin relationships. 3.4.7. Statistical concepts and definitions - Current activity statusCurrent 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. 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 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'. A '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'. A water supply system is a system for the collection, transmission, treatment, storage and distribution of water from source to consumers. During the census the dwelling was considered as with water supply system if water was piped directly into the dwelling. 3.4.33. Statistical concepts and definitions - Toilet facilitiesThe availability of the flush toilet in the dwelling. 3.4.34. Statistical concepts and definitions - Bathing facilitiesA bathing facility is any facility designed to wash the whole body and includes shower facilities. 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 constructionPlace 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. |
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3.5. Statistical unit | |||
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. |
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3.6. Statistical population | |||
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. |
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3.7. Reference area | |||
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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3.8. Coverage - Time | |||
There are no particular reasons for data unreliability for this topic |
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3.9. Base period | |||
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No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service. |
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01/03/2011 |
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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 | |||
Statistics Lithuania |
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6.2. Institutional Mandate - data sharing | |||
Common reminder of EU legislation |
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7.1. Confidentiality - policy | |||
Data confidentiality is guaranteed by the Law on Legal Protection of Personal Data and the Law on Statistics of the Republic of Lithuania, establishing that the personal data collected during the Census may be used only for the production of statistical information. Individuals had the following rights established by the Law on Legal Protection of Personal Data: to familiarise themselves with their personal data managed by Statistics Lithuania, to be informed about the management of their personal data and have the right to demand that their personal data are corrected, destroyed or the management thereof is stopped. Statistics Lithuania was managing the personal data submitted following organisational and technical data protection measures. Statistics Lithuania also has the internal documents on data protection. The above mentioned documents describe the special requirements for IT structure, working with confidential data and publishing of results. |
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7.2. Confidentiality - data treatment | |||
In the process of Census data processing and publication of statistical information, the confidentiality principle was adhered to – data were used only for statistical purposes, in a manner that would not enable the identification of a certain individual or household. Statistics Lithuania has a general guidelines for dealing with the confidentiality issues. For statistical disclosure control of 2011 Census data Statistics Lithuania used table redesign (aggregation to the higher group level), post-tabular methods such as cell suppression and rounding. |
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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 | |||
Statistical information is published on the Official Statistics Portal (osp.stat.gov.lt), according to an approved statistical information release calendar and the Rules for the Preparation and Dissemination of Statistical Information of Statistics Lithuania. |
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Counts of statistical units |
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10.1. Dissemination format - News release | |||
Press releases were published according to an approved press release calendar. They are available on Official Statistics Portal. |
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10.2. Dissemination format - Publications | |||
Lithuanian 2011 Population Census in Brief Results of 2011 Population and Housing Census of the Republic of Lithuania Report on the 2011 Population and Housing Census of the Republic of Lithuania |
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10.3. Dissemination format - online database | |||
Database is available on Official Statistics Portal. |
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10.4. Dissemination format - microdata access | |||
The Census microdata can be provided for use of scientific purposes only in such way that the respondents could not be directly identified by these data. Microdata are provided to the institution of science for scientific purposes only with prior signing of agreement on statistical data provision for scientific purposes with Statistics Lithuania. |
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10.5. Dissemination format - other | |||
Census results were aggregated to the level of a grid and provided for users through a GIS application on the Official Statistics Portal. |
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11.1. Documentation on methodology | |||
Not available. |
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11.2. Quality management - documentation | |||
Not available. |
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12.1. Quality assurance | |||
The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice. In 2007, a quality management system, conforming with the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. |
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12.2. Quality management - assessment | |||
12.2.1. Coverage assessment | |||
The coverage assessment involved in few stages.
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12.2.2. Post-enumeration survey(s) | |||
Post-enumeration survey was not conducted. |
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13.1. Relevance - User Needs | |||
No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service. |
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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 | |||
No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service. |
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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 | |||
The data for the HC01-HC60 were transmitted on 31 March 2013. |
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15.2. Punctuality | |||
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16.1. Comparability - geographical | |||
The statistical information is comparable across the EU. |
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16.2. Comparability - over time | |||
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17.1. Coherence - cross domain | |||
The census data disseminated by Eurostat are addressed to policy makers, researchers, media and the general public. |
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17.2. Coherence - internal | |||
The census data disseminated by Eurostat are addressed to policy makers, researchers, media and the general public. |
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Funds for the Census were allocated from the State budget. Over 2007–2013, LTL 29.7 million was used for the Census. The major part of the funds was allocated for Census workers’ (enumerators’, supervisors’, census division heads’) remuneration. The 2011 Census cost, on average, LTL 9.7, or EUR 2.8, per capita (in 2001, LTL 9.5, or EUR 2.7). 2.4 million € was refunded to the State Budget. This was mostly due to the e-Census. It was planed that only 5 per cent of population will participate in e-Census, while the final results showed that 34 per cent of popualtion participated in e-Census |
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19.1. Data revision - policy | |||
19.2. Data revision - practice | |||
The final results are published and they are not revised after publishing. |
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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 | |||
The statistical data sources used for the 2011 population and housing census were: Administrative data sources: |
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20.1.1.2. List of data sources - data on households | |||
The statistical data sources used for the 2011 population and housing census were: Administrative data sources: |
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20.1.1.3. List of data sources - data on family nuclei | |||
The statistical data sources used for the 2011 population and housing census were: Administrative data sources: |
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20.1.1.4. List of data sources - data on conventional dwellings | |||
The statistical data sources used for the 2011 population and housing census were: Administrative data sources: |
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20.1.1.5. List of data sources - data on living quarters | |||
The statistical data sources used for the 2011 population and housing census were: Administrative data sources: |
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20.1.2. Classification of data sources | |||
20.1.2.1. Classification of data sources - data on persons | |||
05.Combination of register-based censuses and conventional censuses | |||
20.1.2.2. Classification of data sources - data on households | |||
05.Combination of register-based censuses and conventional censuses | |||
20.1.2.3. Classification of data sources - data on family nuclei | |||
05.Combination of register-based censuses and conventional censuses | |||
20.1.2.4. Classification of data sources - data on conventional dwellings | |||
05.Combination of register-based censuses and conventional censuses | |||
20.1.2.5. Classification of data sources - data on living quarters | |||
05.Combination of register-based censuses and conventional censuses | |||
20.2. Frequency of data collection | |||
Counts of statistical units |
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20.3. Data collection | |||
The Census questionnaire was prepared by the specialists of the Population Census and Survey Organisation Division of Statistics Lithuania, following Regulation (EC) No 763/2008 of 9 July 2008 of the European Parliament and of the Council on population and housing censuses, the recommendations of the United Nations Economic Commission for Europe (UNECE) and the Statistical Office of European Union (Eurostat) on the 2010 population and housing censuses, national user needs, and comparability with the 2001 Census data. A preliminary Census database was prepared, i.e., based on the main national administrative data sources, personal data on the individuals who had declared their place of residence in the enumeration districts, their dwelling characteristics were formed. To carry out the Census, 6013 Census workers were hired (4881 enumerators, 972 supervisors, 160 Census division heads). The Census started on 1 March 2011. It was conducted in two stages: 1. On 1–16 March 2011, individuals could fill in an e-Census questionnaire and submit their data via the Internet; 2. On 5 April–9 May 2011, a population enumeration took place: enumerators were visiting dwellings and filling in Census questionnaires. Data processing took place at Statistics Lithuania for 9 months (from 1 July 2011 to 30 March 2012). Data scanning and verification was finished by December 2011. After Census questionnaires had been scanned and the symbol recognition stage was finished, the data identification, editing, coding, dublicate record elimination, logical checking and imputation of missing values was performed. Above mentioned data processing stage was finished by March 2012. |
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20.4. Data validation | |||
Programmed checks were made on census data entry program. Single-variable, cross-variable and multi-case checking rules were created. 14 occupation encoders, 14 economic activity encoders, 2 other indicator encoders, 10 editing operators, 10 identifiers were trained to work with respective functions. The analysis of changes in the results obtained was made, the reasons for significant changes were identified. The aritmetical and logical control of the primary statistical data were performed. Census variables were compared with external data sources. An aggregated statistical data was compared with those from the previous census, other surveys carried out by Statistics Lithuania, administrative data. The final census results were verified and validated by the experts of Census division. |
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20.5. Data compilation | |||
For Census questionnaire scanning and symbol recognition, 23 workstations were equipped at Statistics Lithuania, where 6 scanning and 40 symbol recognition operators were working. OCR templates were prepared using ABBYY FlexiCapture 9.0 tools. The software for the recognition of manually entered data was created. The Census questionnaire had about 400 recognisable fields. After Census questionnaires had been scanned, symbol recognition operators checked the symbols recognised against the data entered into the Census questionnaires and corrected the symbols, when needed. Data scanning lasted 7 months, symbol recognition – 6 months. After the symbol recognition stage, data were coded, corrected, identified, automatic entry of identified data was performed. Data were encoded using classifications, coding manuals and dictionaries. Information was encoded automatically only when it tallied with the information provided in manuals and dictionaries. 99 per cent of wards, 95 per cent of populated localities, 90 per cent of streets, and 24 per cent of occupations were encoded automatically. After the encoding of data on individuals was finalised, the identification of buildings/dwellings and individuals was performed. Buildings/dwellings were identified according to building/dwelling address, individuals – according to personal number, name, surname, date of birth or address of the place of residence. When buildings/dwellings and individuals had been identified, information on temporarily present persons was arranged, and repeating data on addresses and individuals were removed. Data on temporarily present persons were relocated according to the address of the usual place of residence indicated by the individual. The specialists of Statistics Lithuania performed the imputation of missing values. To ensure data quality, mathematical methods were used. 1.45 per cent of entries were imputed for the following indicators: place of birth, education, sources of livelihood, year of construction of the building, useful floor area of the dwelling, number of rooms, kitchen, conveniences, water supply, sewage disposal, main type of heating. |
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20.6. Adjustment | |||
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