1.1. Contact organisation
INE (National Statistics Institute)-Spain
1.2. Contact organisation unit
Census Area
Population Statistics Directorate
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Instituto Nacional de Estadística (INE)
Paseo de la Castellana, 183
Planta 3ª (Izquierda), Despacho 336 -> (Carmen)
or
Planta 3ª (Izquierda), Despacho 344 -> (Jorge)
28071 Madrid (Spain)
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
17 March 2014
2.2. Metadata last posted
17 March 2014
2.3. Metadata last update
17 March 2014
3.1. Data description
Our main data set is the enumeration survey.
Using information from the survey we were able to disseminate information from
-People (Demographic topic, Economic topics, Education topics, Migration...)
-Dwellings
-Households
-Family nucleus
3.2. Classification system
Group of topics
-Population enumerated
-Geographic characteristics
-Demographic characteristics
-Economic characteristics
-Educational characteristics
-International and internal migration
-Household and family characteristics
-Living queartes, dwellings and housing arrangements
3.3. Coverage - sector
3.4. Statistical concepts and definitions
3.4.1. Statistical concepts and definitions - Usual residence
Information about usual residence was obtained from the population register.
The concept of population that we used is the "resident population", but considering the population that exits in the population register.
In order to identify:
registered population that should be considered as resident, or
resident population not registered,
information from other administrative registers (Social Security, Tax Agengy, Home Affairs) and from a specific survey has been used.
Third level students have been counted where they were registered.
Both primary and secondary homeless were counted (because they were registered), but we were not able to identify them.
3.4.2. Statistical concepts and definitions - Sex
Male or Female
3.4.3. Statistical concepts and definitions - Age
Information from date of birth is collected and then age calculated
3.4.4. Statistical concepts and definitions - Marital status
Concerning opposite-sex and same-sex marriages, the law was modified in 2005.
http://www.boe.es/boe/dias/2005/07/02/index.php
This is an updated version of the Civil Code :
http://www.mjusticia.gob.es/cs/Satellite/es/1288774423012/ListaPublicaciones.html
In Spain:
-Since 2005 same-sex couples are allowed to get married.
-The minimun age for marriages was 14 years old.
-It is possible both to divorce or to separate.
http://www.boe.es/boe/dias/2005/07/09/pdfs/A24458-24461.pdf
3.4.5. Statistical concepts and definitions - Family status
Using the information obtained from the questionnarie (question number 6) that asked each person of the household about:
-Father
-Mother
-Partner or Couple
-Other parentship
We were able to assign each person the familly-nucleus they belong (1-Couple with children, 2-Couple without children, 3-Lone father with children, 4-Lone mother with children)
3.4.6. Statistical concepts and definitions - Household status
We used the 'household-dwelling' concept.
Relationships between household members were identified with a question (number 6) that asked each member about:
-Father
-Mother
-Partner or Couple
-Other parentship
We did not collect any information about homeless.
3.4.7. Statistical concepts and definitions - Current activity status
Information about CAS was obtained from the questionnarie (number 14).
The national minimum age for economic activity in the country is 16 years old.
3.4.8. Statistical concepts and definitions - Occupation
Persons with more than one job should have answered the occupation where they spent more hours.
3.4.9. Statistical concepts and definitions - Industry
Persons with more than one job should have answered the "industry" where they spent more hours.
3.4.10. Statistical concepts and definitions - Status in employment
Persons with more than one job should have answered the status in employment of the place where they spent more hours.
3.4.11. Statistical concepts and definitions - Place of work
Location of place of work (municipality)
3.4.12. Statistical concepts and definitions - Educational attainment
Highest level succesfully completed in the educational system
3.4.13. Statistical concepts and definitions - Size of the locality
Population living in neighbouring or continuos buildings
3.4.14. Statistical concepts and definitions - Place of birth
In the few cases we had no information about the place of birth, we obtained it from the place of usual residence of the mother.
3.4.15. Statistical concepts and definitions - Country of citizenship
All the people have information about their country of citizenship (either a concrete country or stateless)
3.4.16. Statistical concepts and definitions - Year of arrival in the country
Information about year of last arrival in the country
3.4.17. Statistical concepts and definitions - Residence one year before
Question number 2 of the questionnarie asked each household member about:
-First: Place of usual residence one year before the Census
-Second: Place of usual residence ten years before the Census
3.4.18. Statistical concepts and definitions - Housing arrangements
Type of housing where a person is usual resident at the time of the census
3.4.19. Statistical concepts and definitions - Type of family nucleus
Two or more persons who live in the same household and are related as:
-Husband and wife
-Cohabiting partners
-Parent and child
3.4.20. Statistical concepts and definitions - Size of family nucleus
Number of members of the family nucleus
3.4.21. Statistical concepts and definitions - Type of private household
A private household is either:
-A one person household. A person who lives alone in a separate housing unit
-A multi-person household. A group of two or more persons who occupy the whole housing unit.
In Spain, one ocuppied dwelling implies one (and only one) household
3.4.22. Statistical concepts and definitions - Size of private household
Number of members of the private household
3.4.23. Statistical concepts and definitions - Tenure status of households
Arrangements under which a private household occupies all or part of a housing unit
3.4.24. Statistical concepts and definitions - Type of living quarter
Type of living quarters relate to occupied conventional dwellings, other housing units and collective living quarters.
3.4.25. Statistical concepts and definitions - Occupancy status
Enumerators decided the occupancy status of the dwelling according to the external signs and some interviews with people they found.
3.4.26. Statistical concepts and definitions - Type of ownership
We did not collect any information about co-operative dwellings.
Under the breakdown 'Dwellings by other types of ownership' we found the case of the houses that are rented continuosly during the seasonal period. Of course, this is not the only situation that exists under this breakdown.
3.4.27. Statistical concepts and definitions - Number of occupants
Number of peple living in a household
3.4.28. Statistical concepts and definitions - Useful floor space
This information was directly obtained from the questionnarie and it collects the amount of square meters of the occupied dwellings.
3.4.29. Statistical concepts and definitions - Number of rooms
Not applicable
3.4.30. Statistical concepts and definitions - Density standard (floor space)
Definition = Useful floor space / Number of occupants
3.4.31. Statistical concepts and definitions - Density standard (number of rooms)
Not applicable
3.4.32. Statistical concepts and definitions - Water supply system
Piped or no piped water
3.4.33. Statistical concepts and definitions - Toilet facilities
Flush or no flush toilet
3.4.34. Statistical concepts and definitions - Bathing facilities
Bath or shower
3.4.35. Statistical concepts and definitions - Type of heating
Central or not
3.4.36. Statistical concepts and definitions - Type of building
Classification of buildings by number of dwellings a building cointains
3.4.37. Statistical concepts and definitions - Period of construction
Is measured in terms of the building was completed (or renovated)
3.5. Statistical unit
People
Dwellings
Households
Family nucleus
3.6. Statistical population
People living in Spain at Census date (1st November 2011)
3.7. Reference area
Spain
3.8. Coverage - Time
3.9. Base period
People or Total population
1 November 2011
6.1. Institutional Mandate - legal acts and other agreements
6.1.1. Bodies responsible
Real Decreto 753/2011
Orden Ministerial PRE/1794/2011
Annexes:
Orden Ministerial
Real Decreto
6.2. Institutional Mandate - data sharing
No documents related with this issue
7.1. Confidentiality - policy
http://www.boe.es/boe/dias/1989/05/11/pdfs/A14026-14035.pdf
Special attention to Chapter III (Articles from 13 to 19)
7.2. Confidentiality - data treatment
-Data swapping techniques.
-All values rounded to the closest integer multiple of 5.
-Constraints in the dissemination depending on the breakdown of the different topics, the amount of cells and a value (for each topic involved in the request) that represents how sensititive is the information disseminated
-In the microdata, small LAU2 municipalities have been recoded depending on their size.
-In the microdata, occupation and industry are only disseminated with 2-digits detail. Apart from that, some sensitive values (for example Forced Arms) have been agregated with others.
8.1. Release calendar
December 2012:
-Population figures and basic demographic information (Tables)
April 2013:
-Provisional households and buildings information (Tables)
May 2013:
-Collective living quarters information (Tables)
December 2013: (Specific software that allows personalized requests)
-Detailed population information
-Dwellings and Family nucleus information
-Definitive household and buildings information
-Microdata
8.2. Release calendar access
8.3. Release policy - user access
-2 months before the dissemination date, we announce the day when we will publish
the information at INE's web page. Information is published at 11.00 am
-Each dissemination contains a press release document.
-There are no distinctions/privilege among different users
See chapter 8.1
10.1. Dissemination format - News release
Pdf files
(December 2012)
http://www.ine.es/en/prensa/np756_en.pdf
(April 2013)
http://www.ine.es/en/prensa/np775_en.pdf
(May 2013)
http://www.ine.es/en/prensa/np777_en.pdf
(December 2013)
http://www.ine.es/en/prensa/np824_en.pdf
10.2. Dissemination format - Publications
(June 2013)
Special brochure
http://www.ine.es/ss/Satellite?blobcol=urldata&blobheader=application%2Fpdf&blobheadername1=Content-Disposition&blobheadervalue1=attachment%3B+filename%3Dcifine01-2013.pdf&blobkey=urldata&blobtable=MungoBlobs&blobwhere=528%2F782%2Fcifine01-2013%2C1.pdf&ssbinary=true
10.3. Dissemination format - online database
Predefined Tables (Excel, Pc-Axis...)
http://www.ine.es/en/censos2011_datos/cen11_datos_resultados_en.htm
Advanced query systems
-Customized table query system
http://www.ine.es/censos2011/tablas/Inicio.do?L=1
-Maps viewer
http://www.ine.es/censos2011/visor/
10.4. Dissemination format - microdata access
http://www.ine.es/en/prodyser/micro_censopv_en.htm
Microdata available both for:
-Persons and households
-Housing and buildings
10.5. Dissemination format - other
No other dissemination formats
10.6. Documentation on methodology
Information about methodology available:
http://www.ine.es/en/censos2011_datos/cen11_datos_metodologia_en.htm
Census project:
http://www.ine.es/en/censos2011/censos2011_proyecto_en.pdf
Questionnaries:
http://www.ine.es/censos2011/censos2011_cuestionario.pdf
http://www.ine.es/censos2011/censos2011_cuest_pobla_colectivos.pdf
Some methodology documents:
http://www.ine.es/censos2011/censos2011_meto_calculo.pdf
http://www.ine.es/en/censos2011_datos/difusion_web_en.pdf
http://www.ine.es/en/censos2011_datos/rejilla_web_en.pdf
http://www.ine.es/censos2011/censos2011_meto_pobla_colectivos.pdf
10.7. Quality management - documentation
http://www.ine.es/censos2011/censos2011_meto_calculo.pdf
http://www.ine.es/en/prensa/np824_en.pdf (Pages 21 and 22)
11.1. Quality assurance
-Documents with tasks list: task-flow, responsible of each task and duration.
-Application for monitoring enumerators: internal application with tables that summed up information collected by enumerators in different regions/days/... and that allowed to redistribute the amount of work according to the results.
-Use of electronic channels (CAWI, CAPI) for collecting data with internal control that assure high quality information
-Linkage methods between registers and sampling information that were useful during the edit and imputation phase.
11.2. Quality management - assessment
11.2.1. Coverage assessment
Methodology developed for the 2011 Spanish Census assures high quality information with
no coverage problems:
-On a simplistic way, our starting point can be considered the information of the Population
Register.
-This information is linked with other registers (Social Security, Tax Agency, Vital Statistics...)
in order to be sure if we should count each person or not.
-If we are sure that we should count a person, we assign that person a counting factor of 1. If we are
sure that we should not count a person, we assign that person a counting factor of 0. If we have doubts
of counting or not that person, then we use information from the survey to assign a counting factor
(more details in the methodological document).
-Once we have all the people with a counting factor, we calibrate information from the survey (previosly
linked) to information with the register in order to disseminate the same figures.
11.2.2. Post-enumeration survey(s)
Post-enumeration survey was not carried out.
12.1. Relevance - User Needs
Different types of users:
-Public organizations (Ministeries, Councils, Agencies...)
-Private companies
-Researches (Teachers at university, students, ...)
-Private persons
Needs can vary a lot among different users. But, most of the users that write to us, want more
detailed information (maybe more geographic detail or more detail in the topics or both).
12.2. Relevance - User Satisfaction
We have an email account that receives all the user requests, complaints, opinions
and gratitudes.
We try to give to each user a personalized answer as soon as possible.
We try to learn from the information received by our users. If the same complaint is considered
by several users, we try to improve our system and to provide that information to the users.
12.3. Completeness
We have a generic criteria to disseminate as much information as possible.
But sometimes, this information is not enough for users. So, they write to us and they make
a personalized request.
In these personalized request, we study deeply the information that the user wants and we
try to provide him (under a certain cost) as much information as possible considering the
confidentialiy issues.
13.1. Accuracy - overall
13.1.1. Overall accuracy - Usual residence
No reasons for unreliability
13.1.2. Overall accuracy - Sex
No reasons for unreliability
13.1.3. Overall accuracy - Age
No reasons for unreliability
13.1.4. Overall accuracy - Marital status
The questionnarie did not include the possibility of registered partnerships, although they exist in
our country.
13.1.5. Overall accuracy - Family status
For people living in conventional dwellings, the questionnarie did not include the possibility of registered partnerships, although they exist in our country.
For people living in collective living quarters, the questionnarie did not ask about partnership relationship among the people living there.
13.1.6. Overall accuracy - Household status
For people living in conventional dwellings, the questionnarie did not include the possibility of registered partnerships, although they exist in our country.
For people living in collective living quarters, the questionnarie did not ask about partnership relationship among the people living there.
There was not disseminated any figure related with homeless people.
13.1.7. Overall accuracy - Current activity status
No reasons for unreliability
13.1.8. Overall accuracy - Occupation
There was not disseminated any figure related with occupation for people at collective living quarters.
13.1.9. Overall accuracy - Industry
There was not disseminated any figure related with industry for people at collective living quarters.
13.1.10. Overall accuracy - Status in employment
There was not disseminated any figure related with status in employment for people at collective living quarters.
13.1.11. Overall accuracy - Place of work
There was not disseminated any figure related with place of work for people at collective living quarters.
13.1.12. Overall accuracy - Educational attainment
We used a national educational attainment classification and there was no correspondence between
our values and ISCED Level 4.
For people living in collective living quarters, we used a short-version of a national educational attainment classification and there was no correspondence between our values and ISCED Level 4 and ISCED Level 6.
13.1.13. Overall accuracy - Size of the locality
No reasons for unreliability
13.1.14. Overall accuracy - Place of birth
For people living in collective living quarters, we did not ask about the country of birth.
There were three different possibilities of answer in this question:
-Spain
-Other country inside the European Union
-Other country outside the European Union
13.1.15. Overall accuracy - Country of citizenship
For people living in collective living quarters, we did not ask about the country of citizenship.
There were four different possibilities of answer in this question:
-Spanish
-Other country inside the European Union
-Other country outside the European Union
-Stateless
13.1.16. Overall accuracy - Year of arrival in the country
There was not disseminated any figure related with year of arrival in the country for people at collective living quarters.
13.1.17. Overall accuracy - Residence one year before
For people living in collective living quarters, we did not ask about the detail municipality of residence one year before the Census(*), so in some regions (islands) we do not know if the person has moved from one NUTS3 region to another one or not.
(*)
There were four different possibilities of answer in this question:
-Same municipality
-Different municipality, same region
-Different region
-Different county
13.1.18. Overall accuracy - Housing arrangements
There was not disseminated any figure related with homeless people.
13.1.19. Overall accuracy - Type of family nucleus
The questionnarie did not include the possibility of registered partnerships, although they exist in
our country.
13.1.20. Overall accuracy - Size of family nucleus
No reasons for unreliability
13.1.21. Overall accuracy - Type of private household
The questionnarie did not include the possibility of registered partnerships, although they exist in
our country.
13.1.22. Overall accuracy - Size of private household
No reasons for unreliability
13.1.23. Overall accuracy - Tenure status of households
No reasons for unreliability
13.1.24. Overall accuracy - Type of living quarter
No reasons for unreliability
13.1.25. Overall accuracy - Occupancy status
No reasons for unreliability
13.1.26. Overall accuracy - Type of ownership
We did not ask about dwellings in cooperative ownership.
13.1.27. Overall accuracy - Number of occupants
No reasons for unreliability
13.1.28. Overall accuracy - Useful floor space
No reasons for unreliability
13.1.29. Overall accuracy - Number of rooms
Not available (We chose the topics UFS=Useful Floor Space and DFS=Density of Floor Space)
13.1.30. Overall accuracy - Density standard (floor space)
No reasons for unreliability
13.1.31. Overall accuracy - Density standard (number of rooms)
Not available (We chose the topics UFS=Useful Floor Space and DFS=Density of Floor Space)
13.1.32. Overall accuracy - Water supply system
No reasons for unreliability
13.1.33. Overall accuracy - Toilet facilities
No reasons for unreliability
13.1.34. Overall accuracy - Bathing facilities
No reasons for unreliability
13.1.35. Overall accuracy - Type of heating
No reasons for unreliability
13.1.36. Overall accuracy - Type of building
For some dwellings we do not know exactly the type of building.
13.1.37. Overall accuracy - Period of construction
No reasons for unreliability
13.2. Sampling error
13.3. Non-sampling error
14.1. Timeliness
Timeliness depends on each dissemination we carried out:
(December 2012). Timeliness=13 months
(April 2013). Timeliness=17 months
(May 2013). Timeliness=18 months
(December 2013). Timeliness=25 months
14.2. Punctuality
15.1. Comparability - geographical
In general, all the information is comparable among different geographic areas
(our survey design ensured that all the LAU2 areas were represented)
Apart from that, some detailed information may not be comparable becasue
its sampling error is too high.
15.2. Comparability - over time
15.3. Coherence - cross domain
In general, information from Census is reconcilable with other sources.
Because of the methodology used information is reconcilable with other types
of registers.
Differences can appear if we try to compare topics that are not exactly the same
(different definitions) or that were not collected using the same methodology
(amount of questions, channels, response choices...).
15.4. Coherence - internal
Because of the methodology used all the information is coherent.
Cost: 85M Euros
Burden on respondents
-First contact with users was a letter inviting them to answer using Internet (if information
was available, users only had to check it).
-If no response was given, they were invited to answer using paper forms.
-If still no response was given, an enumerator visited the dwelling.
Because of our methodology (sampling survey + registers) only one part of the population
had to answer to the Census information.
17.1. Data revision - policy
17.2. Data revision - practice
In general we disseminate definitive figures. The only exception was the
household and building information that was disseminated as provisional figures
in April 2013 and as definitve figures in December 2013.
There is no data revision foreseen.
18.1. Source data
18.1.1. List of data sources
18.1.1.1. List of data sources - data on persons
-Population register
-Vital Statistics Bulletins (Births and Deaths)
-Social Security register
-Tax Agency
-2001 Census
-Conventional dwellings and people questionnarie
-Collective living quarters and people questionnarie
18.1.1.2. List of data sources - data on households
-Conventional dwellings and people questionnarie
18.1.1.3. List of data sources - data on family nuclei
-Conventional dwellings and people questionnarie
18.1.1.4. List of data sources - data on conventional dwellings
-2001 Census
-Cadaster
-2011 Building Census
For data on occupied conventional dwellings, also:
-Conventional dwellings and people questionnarie
18.1.1.5. List of data sources - data on living quarters
-2001 Census
-Cadaster
-Conventional dwellings and people questionnarie
-Collective living quarters and people questionnarie
-2011 Building Census
18.1.2. Classification of data sources
18.1.2.1. Classification of data sources - data on persons
04.Combination of register-based censuses and sample surveys18.1.2.2. Classification of data sources - data on households
04.Combination of register-based censuses and sample surveys18.1.2.3. Classification of data sources - data on family nuclei
04.Combination of register-based censuses and sample surveys18.1.2.4. Classification of data sources - data on conventional dwellings
06.Combination of register-based censuses, sample surveys and conventional censuses18.1.2.5. Classification of data sources - data on living quarters
06.Combination of register-based censuses, sample surveys and conventional censuses18.2. Frequency of data collection
In general, Census information is collected every decade.
18.3. Data collection
Census information was collected using these channels:
-Paper
-Internet
-Hand held devices (CAPI)
Data collection operation was carried out from Sept-2011 to March-2012. But these operation had
some previous preparation...
During the first moths of 2011 we generated two pre-Census files (one that contained information from
people and other one with information from territory). Information from those two files was obtained
from 2001 Census, Population Register and Cadaster. All these information was used for several purposes:
-In order to select the frame of the survey
-Information that was pre-charged in the electronic channels (Internet and CAPI)
-To send the letters to the dwellings that had to collaborate
18.4. Data validation
As we explained in 12.2.1, because of the methodology we used (that includes counting
factors and calibration), information from basic demographic topics was validated with other sources.
Apart from that, for other topics we checked information obtained from the Census with other
type of sources:
-Information from 2001 Census
-Information derived from the Population Register
-Information obtained from other surveys (LFS, SILC...)
18.5. Data compilation
Information obtained by paper was scanned and codified. An OCR-system was used to check the
information and people working in a call-center ckecked the incoherences of the questionnarie.
Information from the survey was linked with information from the register using these information:
-Name and Surname
-Date of Birth
-Citizenship
-Place of Birth
-Place of Residence
Both deterministic and probabilistic methods were used in order to maximize the linkage porcentage
between the two sources.
For all the topics:
-Fist of all we edited the information and tried to detect all the wrong values.
-Secondly, both the wrong and missing values were imputed, most of the times using probabilistic
techniques.
Generation of household and families information was possible using information from the questionnarie:
-Name and surname
-Age
-Question number 5 (Legal marital status) and
-Question number 6 (Relation between household members)
18.6. Adjustment
Our main data set is the enumeration survey.
Using information from the survey we were able to disseminate information from
-People (Demographic topic, Economic topics, Education topics, Migration...)
-Dwellings
-Households
-Family nucleus
17 March 2014
People
Dwellings
Households
Family nucleus
People living in Spain at Census date (1st November 2011)
Spain
1 November 2011
People or Total population
Information obtained by paper was scanned and codified. An OCR-system was used to check the
information and people working in a call-center ckecked the incoherences of the questionnarie.
Information from the survey was linked with information from the register using these information:
-Name and Surname
-Date of Birth
-Citizenship
-Place of Birth
-Place of Residence
Both deterministic and probabilistic methods were used in order to maximize the linkage porcentage
between the two sources.
For all the topics:
-Fist of all we edited the information and tried to detect all the wrong values.
-Secondly, both the wrong and missing values were imputed, most of the times using probabilistic
techniques.
Generation of household and families information was possible using information from the questionnarie:
-Name and surname
-Age
-Question number 5 (Legal marital status) and
-Question number 6 (Relation between household members)
See chapter 8.1
Timeliness depends on each dissemination we carried out:
(December 2012). Timeliness=13 months
(April 2013). Timeliness=17 months
(May 2013). Timeliness=18 months
(December 2013). Timeliness=25 months
In general, all the information is comparable among different geographic areas
(our survey design ensured that all the LAU2 areas were represented)
Apart from that, some detailed information may not be comparable becasue
its sampling error is too high.
