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REDATAM+SP WebServer as a tool REDATAM+SP WebServer as a tool for dissemination of microdatafor dissemination of microdata
Alejandra SilvaCELADE- Population Division of ECLAC, United Nations (1957 – 2007)
IPUMS- GLOBAL WorkshopLisbon, Portugal, August 2007
What is Redatam?What is Redatam?
It’s a database management tool that administrates large volumes of census microdata with hierarchical (geographical) structure down to the smallest area of the census exercise (city blocks)
Facilitates the data processing for small areas
How? by facilitating the NSO the creation of an encrypted database which could be
provided to third parties taking into account confidentiality issues
by providing the NSO’s themselves and the end users with a user friendly and fast software for processing large volumes of data, particularly for small areas
What is Redatam?What is Redatam?
It was originally (early eighties) developed at CELADE (Latin American Demographic Center/Population Division of ECLAC, United Nations) to promote access to census micro data.
The development of REDATAM was supported mainly by IDRC, CIDA, IDB and UNFPA.
REDATAM: REtrieval of census DATa for small Areas by Microcomputers
Which data can be used with Which data can be used with Redatam?Redatam?
Currently, all data sources can be imported into Redatam
- Population, agricultural, and economic censuses - Vital statistics - Household and fertility surveys - Educational and health statistics - Trade & commerce data, etc.
Characteristics of REDATAMCharacteristics of REDATAM
User friendly software
Administrates Hierarchical databases
Data stored in internal (encrypted) format (no access to individual or household records)
Highly Compressed database
Fast data processing
Multisectoral databases (combining several databases)
User can define geographical area to be processed
Hierarchical Structured DatabaseHierarchical Structured Database
HouseholdHousehold
Country
Province
Municipality
. . .
PersonPerson
DwellingDwelling
Block
Exportation of (aggregated) results to other software (Excel, ASCII,
GIS)
Thematic mapping & Graphs
External data in dbf format can be accessed
On-line Help
Dissemination of Applications on CDs (xPlan) for interactive processing
with the microdata as well as aggregated data.
On-line data processing (Redatam WebServer)
Available in English, Portuguese, French and Spanish
Characteristics of REDATAMCharacteristics of REDATAM
ProcessProcessCreateCreate
xPlanxPlanWebServerWebServer
REDATAM+SPREDATAM+SP FAMILYFAMILY
EIM & EIF EIM & EIF Demographic modulesDemographic modules
GINI moduleGINI module
Redatam+SP xPlan ApplicationsRedatam+SP xPlan Applications
• Redatam+ SP Stand Alone applications for population analysis• Redatam+SP xPlan applications for population data dissemination
Redatam Applications for Redatam Applications for Population AnalysisPopulation Analysis
The Redatam+Sp EIM and EIF Demographic Modules facilitates the indirect estimation of mortality and fertility (stand alone applications)
The Redatam+Sp GINI module designed for the estimation of inequality measures (Gini, Theil and other indicators)
Was developed to calculate child and infant mortality rates using the Brass method.
This method uses census microdata to indirectly estimate the mortality rate by utilizing survival information derived from the difference between the total number of children born alive and the number of children presently alive.
This information can be obtained from all population censuses or from specific health surveys in all the countries.
Indirect Mortality EstimationIndirect Mortality Estimation(Redatam+SP EIM)(Redatam+SP EIM)
The Brass Method to study of the fertility and mortality of a population
This method requires then the following variables: Number of women by 5 years age groups, between 15 and
49 years (total, women without declaration of children ever born, and/or children missing);
Number of children ever had, classified by the mother’s age group.
Number of children surviving, classified by the mother’s age group
Indirect Mortality EstimationIndirect Mortality Estimation(Redatam+SP EIM)(Redatam+SP EIM)
The Redatam+SP EIM module requires in the first place completing a parameters file named “EIM.inl”
Indirect Mortality EstimationIndirect Mortality Estimation(Redatam+SP EIM)(Redatam+SP EIM)
In the case of Brazil, 1991 and 2000, the mortality rates for every female cohort were estimated using the entire database and also a control variable was introduced for households to segregate according to socioeconomic quintiles.
In both cases, a weight was used because this census data correspond to a 10% sample of the population.
Once all the parameters are defined in the EIM.inl file, we are ready to run the Redatam+SP EIM module.
Indirect Mortality EstimationIndirect Mortality Estimation(Redatam+SP EIM)(Redatam+SP EIM)
Indirect Mortality EstimationIndirect Mortality Estimation(Redatam+SP EIM)(Redatam+SP EIM)
Main window with the basic parameters used to run the model
Output window with the mortality rates for each female cohort, for Brazil census1991and 2000.
The mean parity P(i), that is, the average number of children that women in each group of age ever had. A woman aged 45-49 at the end of her reproductive life has had an average of 4.22 children according to the 1991 census and 3.39 children according to the 2000 census
Infant mortality rate calculation by Quintiles Infant mortality rate calculation by Quintiles Brazil, 1991 censusBrazil, 1991 census
The Brass technique (using the Coale-Trussel variant) is utilized. Then, the q(x) values are interpolated into the West family of the model life tables of Coale & Demeny (column 9) and the corresponding mortality rates - q(1) and q(5) values are obtained.
Infant mortality Infant mortality drop in Brazil, drop in Brazil, according to according to
different sourcesdifferent sources
Brazil has reduced its infant mortality rate significantly in the last few years. Infant mortality has decreased across all socio-economic levels of the population
(quintiles), controlled by area of residence (urban versus rural) showed by the negative percentages of variation.
The magnitude of this reduction has varied in each level, reflecting social inequalities.
Infant mortality rate calculation by Infant mortality rate calculation by Quintiles Quintiles
Brazil, 1991 and 2000 censusBrazil, 1991 and 2000 census
However, it shows a large intraregional variation which, moreover, failed to decline at all in the 1990s.
Infant mortality rate calculation by Infant mortality rate calculation by Quintiles Quintiles
Brazil, 1991 and 2000 censusBrazil, 1991 and 2000 census
As a conclusion we can say that the recent drop in infant mortality in the country (as in other countries of Latin America) has not been accompanied, at least not systematically, by a decrease in the gaps between administrative units.
Redatam xPlan Applications for Redatam xPlan Applications for Microdata Dissemination – The Microdata Dissemination – The
FutureFuture Redatam Development team is focusing more and more into
the development of special applications to disseminate population data (for example on CDs or through the Web) using microdata or aggregated data.
Easy and friendly interface; without programming. Options of tabulations and processes are defined by the user Allows to process predefined indicators. Allow for graphing and
thematic mapping. Several applications have been undertaken with Census data,
vital statistics, industrial census, agricultural census, trade statistics.