INE (National Statistics Institute)-Spain

Census Area

Population Statistics Directorate

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)

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

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

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.

Male or Female

Information from date of birth is collected and then age calculated

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

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) 

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.

Information about CAS was obtained from the questionnarie (number 14).

The national minimum age for economic activity in the country is 16 years old.

Persons with more than one job should have answered the occupation where they spent more hours.

Persons with more than one job should have answered the "industry" where they spent more hours.

Persons with more than one job should have answered the status in employment of the place where they spent more hours.

Location of place of work (municipality)

Highest level succesfully completed in the educational system

Population living in neighbouring or continuos buildings

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.

All the people have information about their country of citizenship (either a concrete country or stateless)

Information about year of last arrival in the country

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

Type of housing where a person is usual resident at the time of the census

Two or more persons who live in the same household and are related as:

-Husband and wife

-Cohabiting partners

-Parent and child

Number of members of the family nucleus

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

Number of members of the private household

Arrangements under which a private household occupies all or part of a housing unit

Type of living quarters relate to occupied conventional dwellings, other housing units and collective living quarters.

Enumerators decided the occupancy status of the dwelling according to the external signs and some interviews with people they found.

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.

Number of peple living in a household

This information was directly obtained from the questionnarie and it collects the amount of square meters of the occupied dwellings.

Not applicable

Definition = Useful floor space / Number of occupants

Not applicable

Piped or no piped water

Flush or no flush toilet

Bath or shower

Central or not

Classification of buildings by number of dwellings a building cointains

Is measured in terms of the building was completed (or renovated)

People

Dwellings

Households

Family nucleus

People living in Spain at Census date (1st November 2011)

Spain

People or Total population

Real Decreto 753/2011

Orden Ministerial PRE/1794/2011

No documents related with this issue

http://www.boe.es/boe/dias/1989/05/11/pdfs/A14026-14035.pdf

Special attention to Chapter III (Articles from 13 to 19)

-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.

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

-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

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

(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

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/

http://www.ine.es/en/prodyser/micro_censopv_en.htm

Microdata available both for:

-Persons and households

-Housing and buildings

No other dissemination formats

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

http://www.ine.es/censos2011/censos2011_meto_calculo.pdf

http://www.ine.es/en/prensa/np824_en.pdf (Pages 21 and 22)

-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.

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.

Post-enumeration survey was not carried out.

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).

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.

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.

No reasons for unreliability

No reasons for unreliability

No reasons for unreliability

The questionnarie did not include the possibility of registered partnerships, although they exist in

our country.

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.

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.

No reasons for unreliability

There was not disseminated any figure related with occupation for people at collective living quarters.

There was not disseminated any figure related with industry for people at collective living quarters.

There was not disseminated any figure related with status in employment for people at collective living quarters.

There was not disseminated any figure related with place of work for people at collective living quarters.

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.

No reasons for unreliability

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

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

There was not disseminated any figure related with year of arrival in the country for people at collective living quarters.

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

There was not disseminated any figure related with homeless people.

The questionnarie did not include the possibility of registered partnerships, although they exist in

our country.

No reasons for unreliability

The questionnarie did not include the possibility of registered partnerships, although they exist in

our country.

No reasons for unreliability

No reasons for unreliability

No reasons for unreliability

No reasons for unreliability

We did not ask about dwellings in cooperative ownership.

No reasons for unreliability

No reasons for unreliability

Not available (We chose the topics UFS=Useful Floor Space and DFS=Density of Floor Space)

No reasons for unreliability

Not available (We chose the topics UFS=Useful Floor Space and DFS=Density of Floor Space)

No reasons for unreliability

No reasons for unreliability

No reasons for unreliability

No reasons for unreliability

For some dwellings we do not know exactly the type of building.

No reasons for unreliability

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.

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...).

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.

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.

-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

-Conventional dwellings and people questionnarie

-Conventional dwellings and people questionnarie

-2001 Census

-Cadaster

-2011 Building Census

For data on occupied conventional dwellings, also:

-Conventional dwellings and people questionnarie

-2001 Census

-Cadaster

-Conventional dwellings and people questionnarie

-Collective living quarters and people questionnarie

-2011 Building Census

In general, Census information is collected every decade.

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

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...)

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)