Aranjuez Database: Individual and family trajectories

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Introduction

The database covers much of the demographic transition in Aranjuez. All of the papers generated from the database thus far have dealt with one aspect or another of this process.

Shortname

ADB

IDS compatible

Period

1871 - 1970

Territory

Aranjuez, Spain

Category

Longitudinal

Contact information

Organisation

Population and Society Research Group (GEPS)

Web Address

http://www.geps.es/

Location

Madrid, Spain

Postal Address

Dep. Sociología II, Facultad de CC.PP. y Sociología, Universidad Complutense de Madrid, 28223 Madrid, Spain

Contact Persons

Alberto Sanz-Gimeno

asanzg@cps.ucm.es

Citation

Aranjuez Database: Individual and family trajectories.

Questionnaire
Download questionnaire
The questionnaire was submitted on 6 February 2015 by Alberto Sanz-Gimeno.

Scope / Status

Original goal

The database covers much of the demographic transition in Aranjuez. All of the papers generated from the database thus far have dealt with one aspect or another of this process. The data refer to the town of Aranjuez, located some 50 km south of Madrid. Over the period, the population of the town ranges from some 7500 in the 1870s, to around 12,000 in the early twentieth century, and upwards of 30,000 towards the end of the period.

Current status

The databases is completed.

Sample definition

There is no sampling at all in the data base. The research group was given access to the civil registration material for the entire period. The same holds true for the local population listings and the militar heights. Since the material focuses on a small town, the is considerable loss of information regarding people who out-migrate. Assesing the effects of mobility on the individuals in the data base is extremely difficult.

Geographic area under observation

The data refer to the town of Aranjuez, located some 50 km south of Madrid.

Keywords

life course, civil register, social science, occupations, family history, individual trajectories

Sources

From year	End year	Source	Explanation
1871	1970	Civil birth certificates
1871	1970	Civil marriage certificates
1871	1970	Civil death certificates
1877	1975	Nominative lists	Six different 'padrones': 1877, 1905, 1912, 1945, 1960, 1975
1893	1970	Military draft records	Heights of local draftees

Collection procedure

• When the data was collected and transcribed? - 1998-2002. • Data collection method: Transcription. • If transcription, how was the transcription done: By individuals • How was the checking of the transcription done? - Automatic and semi-automatic with other manuals controls. • When was it done? - 2001-2003 • Purpose of the transcription: Research. • Control methods by researcher: Internal consistencies between different events. • Data collection staff: 12-14 persons (researchers and students).

Observations

Units of observation

Unit of observation	Explanation	Number
Individuals		68,462
Married couples		10,893
Families		40,143
Households	Households can be followed over different local population listings, but only if the data are linked. This has not been done so far.

Are there any related observations that are not included in the database?

Everyone is included in the sample. The appearance of an individual in the database might only be once, but full information on him is registered. In other words, some individuals appear many times in the database (on birth, marriage and death certificates, on population lisitings, on military conscription lists) while others may only appear once.

How do the units of observation enter observation?

Individuals enter observation when they appear in the database. For those who are born in Aranjuez, this is at birth. For in-migrants this can happen at any time on any type of document.

How do the units of observation leave observation?

Individuals leave observation at death or when they disappear from the database. We can look at this issue indirectly by establishing exactly until what date people are really under observation.

Dates estimated

Yes, see above.

Are some entry or exit dates unknown?

Of course.

Can observations be linked to geographic locations?

Yes

Are the dates and locations of movements within the observation area recorded?

Partly

Are all individuals who lived in the households of sample members recorded?

Yes

Linkage

• Which sources and units of observation have been linked: Births, marriages, deaths, militar conscriptions and local censuses, heights of military conscripts. • Documentation of linking: Programme and manually. • Name of software if used: Microsoft Access. • What are the rules for linking? - Names, age, marital status, dates. • How each reconstructed person is traceable to the original sources /transcribed data? - By mean an identification number (ID). • How is linkage represented in the database? - All individuals have a personal identification number (ID). This has been the basis of what we call a Relational Table that contains the IDs of every person in the database who appears on any of the records pertaining to a given individual as well as their position in those records (for example, his parents on his birth, marriage or death certificate). In this way, all links between different IDs can be ascertained easily. The main data base, of course, contains several other smaller data bases that have been his birth, marriage or death certificate). In this way, all links between different IDs can be ascertained easily. The main data base, of course, contains several other smaller data bases that have been generated for specific analytical purposes. The origin of all of them is the Relational Table. • Linkage percentage: 90%. • Quality of linkage (own evaluation): 95%. • What reference/coding systems have been linked to the data? - Occupational titles (HISCO).

Variables

Events

Type	Dated	Explanation
Birth	Yes
Marriage	Partly	Date of marriage is not possible for people who married outside the town, but the de facto existence of the marriage can be ascertained.
Death	Yes
Migration	Partly	Out-migrants can be identified indirectly (disappearing at some time after a given date or age). In-migrants are fully identified as long as they appear in the data base (origin is always registered). There is no way of knowing exactly when they arrive in town.

Variables

Data of birth and dead, age, gender, marital status, occupation, place of birth, cause of dead, relationship, family data.

Coding / Reference systems

Occupational titles: We have generated our own system. Very few classifications are used, mainly due to the fact that a large part of the town’s population is often classified as ‘day laborers’.It also includes the classification by HISCO.

Locations (including geo-referenced systems).

Civil status, literacy, sex.

Cause of death.

Data representation

All data base construction and management has been done basically with MS Access.

Kinship relations

Recording

Immediate kin relations can be derived (often indirectly) from the local nominative listings of households and inhabitants. For those who are born in Aranjuez, kin ties can be imputed thanks to family reconstitution.

Depth of information

Two and possibly three.

Publications

1. Main publications about the database itself
• REHER, David, GONZÁLEZ QUIÑONES, Fernando R. y SANZ GIMENO, Alberto (2004), «Procesos de modernización y trayectorias de vida. Propuesta para el análisis sociodemográfico a partir de datos locales en España», Reconstituição de famílias, fogos e estratégias sociais, Actas del VI Congreso de la Asociación de Demografía Histórica, 18-20 abril 2001, Castelo Branco.

2. Main or exemplary publications on research based on the database
• REHER, David-Sven y GONZÁLEZ QUIÑONES, Fernando R. (2003), «Do parents really matter? Child health and development in Spain during the demographic transition», Population Studies, 57, 1, págs. 63-75.
• COLANTONIO, Sonia E., FUSTER, Vicente, SANZ GIMENO, Alberto y REHER, David S. (2008), «Factors related to inbreeding components from isonymy in an urban population: Aranjuez (Spain)», Journal of Biosocial Science 40, 2, págs. 239-246.
• REHER David-Sven y SANZ GIMENO, Alberto (2007), «Rethinking historical reproductive change: Insights from longitudinal data for a Spanish town», Population and Development Review, 33, 4, págs. 703-727.
• REHER, David-Sven, ORTEGA, José Antonio y SANZ GIMENO, Alberto (2008), «Intergenerational transmission of reproductive traits in Spain during the demographic transition», Human Nature, 19, 1, págs. 23-43.
• VAN POPPEL, Frans, REHER, David S., SANZ GIMENO, Alberto, SÁNCHEZ DOMÍNGUEZ, María y BEEKINK, Erik (2012), «Mortality decline and reproductive change during the Dutch demographic transition: Revisiting a traditional debate with new data», Demographic Research, 27, 11, págs. 299-338.

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