We would like to call your
attention to a product that you might find useful in your work and activities on
MDGs. It is a database that presents disaggregated estimates for 30 MDG
indicators and other related social indicators by gender, region, ethnicity and
income quintiles for 20 countries in the Latin American and the
The idea to develop
disaggregated indicators for
The final product is an
important contribution to support analytical work, policy discussions,
monitoring and dissemination of the MDGs in
In the
website you will find disaggregated data that can be displayed by MDG or Sector
using charts and tables of choice. Estimations for at least two points in time
(from 1990 to the latest available year) are available for each of the 20
countries using microdata from the Household Surveys Databank of the MECOVI
Program. Statistical significance and methodological details on definitions,
methods of calculation, relevant facts about sources of information and complete
access to the programs for calculating the indicators are included throughout
the website.
We hope this will be helpful.
Selim
Jahan
(BDP-PG)
Carlos Eduardo Vélez (IDB)
Quisiéramos
llamar su atención sobre un producto que seguramente les será de utilidad en sus
trabajos y actividades relacionadas con los ODM. Se trata de una base de datos
que contiene estimaciones para alrededor de 30 indicadores sociales y ODM
desagregados por género, tipo de región, etnia y quintiles de ingreso para 20
países de América Latina y El Caribe y para los años para los que hay encuestas
de hogares disponibles en cada pais.
La idea de producir estimaciones de
indicadores ODM para América
Este producto, sera actualizado continuamente y representa una
contribución importante que apoya el análisis, el debate de políticas, el
monitoreo y la difusión de los ODM en América Latina y El Caribe. Recomendamos a
los miembros de las redes de pobreza y ODM del PNUD que revisen y consulten esta
base de datos en: www.iadb.org/xindicators.
En este sitio
encontraran datos desagregados que pueden ser desplegados por ODM o por Sector
mediante el uso de gráficos y tablas. La base contiene estimaciones para al
menos dos puntos en el tiempo para cada uno de los 20 países incluidos (desde
1990 hasta la más reciente de que se disponga) que provienen de datos de los
registros de la base datos de Encuestas de Hogares del programa MECOVI. El
sistema incluye cálculos para evaluar la confiabilidad estadística, información
sobre la metodología de estimación, información sobre las fuentes de información
y acceso a los programas y rutinas utilizadas en la estimación.
Confiamos
que ustedes encontrarán este producto de suma utilidad en sus
tareas.
Selim
Jahan
(BPD-GP)
Carlos Eduardo Vélez (BID)
________________________________________________________________________
http://www.iadb.org/xindicators/
All indicators presented as part of
this research initiative are estimates
based on microdata from sample based household
surveys. They are not IDB official
statistics, are bound to have an implicit
sampling error, and are not strictly comparable
with estimates from other data sources (census and
administrative records). Official indicators
should be obtained directly from each country's
statistical agency. Estimates have been subject to a
high level of quality control to increase the
level of cross-country comparability and to
provide information about their statistical
accuracy. The calculations are based on the United
Nations standard definitions for the MDG
indicators, and use the original microdata from
the countries' household surveys. In order to
enhance the quality of the data the complete
estimation process is as transparent as possible,
the definitions for all indicators are included in
each table and graph, and the STATA do-files used
for the computations are available for
downloading. Moreover, in order to indicate the
margin of error several statistics of significance
are provided for all indicators in each period and
country. Comments are welcomed at eqxis-bid@iadb.org Estimations for four points in
time starting from 1990 to the latest
available year, use microdata from the
Household Surveys Databank of the MECOVI Program
and definitions
of indicators from the United Nations for
monitoring the Millennium Development Goals
(MDGs). Indicators are disaggregated
by income quintile, gender, urban/rural area and
race/ethnicity to help identify
discrepancies in the achievement of
development goals within different groups of
population. Statistical significance and
methodological details on definitions, methods
of calculation, relevant facts about sources of
information and complete access to the programs
for calculating the indicators are included
throughout the website. All indicators presented as part of
this research initiative are estimates
based on microdata from sample based household
surveys. They are not IDB official
statistics, are bound to have an implicit
sampling error, and are not strictly comparable
with estimates from other data sources (census and
administrative records). Official indicators
should be obtained directly from each country's
statistical agency. Column and line charts can
be displayed for any indicator in available
years and countries. Data is presented by income
quintiles and options to visualize disaggregated
data are included. Access gaps between the
poorest and richest quintiles for selected
indicators are presented in radar charts.
Each vertex displays the gap between the poorest
and richest quintiles for a specific
indicator. Access gaps between the poorest
and richest quintiles for each indicator are
presented in radar charts. They are
available for the latest year for each
country. These multidimensional graphs
display in each vertex the gap among the poorest
and richest quintiles for a specific indicator.
The outer boundary represents the access of the
richest quintile. The indicators presented in The statistical standard error for
each indicator has been calculated considering the
specific sample design of each survey (not by
assuming simple random sampling). For this
purpose, specific statistical software that
considers clustering and stratification was used.
However, for some surveys in which variables
and/or detailed sample design information were not
available, a plausible approximation was made with
the microdata on hand. Within the Tables of Charts and tables in Average values for indicators
presented in Within The definitions used for estimating
social indicators in Argentina Belize Bolivia Brazil Chile Colombia Costa
Rica Dominican
Republic Ecuador El
Salvador Guatemala Honduras Jamaica Mexico Nicaragua Panama Paraguay Peru Uruguay Venezuela,
RB View list
of available indicators Last updated: Tuesday, September 20, 2005
Surveys Number of
indicators Ethnic/race
disaggregation Encuesta de Desarrollo Social,
1997 16 No Encuesta de Condiciones de Vida,
2001 24 No Indicators
are IDB SDS/POV own estimations based on data
from Sistema de Información, Monitoreo y
Evaluación de Programas (SIEMPRO) - Instituto
Nacional de Estadística y Censos (INDEC).
Please
contact us at: eqxis-bid@iadb.org This
project has been supported by Regional Technical
Cooperation of the InterAmerican Development
Bank, additional funding was provided by the
United Kingdom's Department for International
Development (2005) and the United Nations
Development Programme
(2004).
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presents disaggregated
data on social indicators. & about us.
is an informational tool
that presents disaggregated data on social
indicators for monitoring development goals.
includes the possibility to
display dynamically generated tables, in
which the user can select disaggregated social
indicators by country, and year.
were calculated from household
surveys and
thus have a sampling error associated to them., the following statistical
indicators of significance are presented:
automatically do not display
data if :
, could differ from those
calculated with sources other than household
surveys. Estimations were calculated trying to
make them comparable along time within each
country. However, some estimations within
countries, could differ from year to year due to
changes in survey's questionnaires.
, metadata is included on
methodological issues on definitions, methods of
calculation, relevant facts about sources of
information and complete access to the programs
for calculating the included indicators.
are taken from the publication
of the United Nations (2003): “Indicators for
Monitoring the Millennium Development Goals.
Definitions, Rationale, Concepts and Sources” 
is a product developed by the
Poverty and Inequality Unit of the Sustainable
Development Department, with the collaboration of
other Departments and Divisions of the
Inter-American Development Bank.