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.
Different data display
options are available within charts and
tables.
Estimations have information
regarding their statistical
confidence.
Data has been calculated for
four points in time and 20 countries of
Latin America and the Caribbean.
Contact & about us.
Disclaimer
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.
is an informational tool that
presents disaggregated data on social indicators for
monitoring development goals.
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.
includes the possibility to
display dynamically generated tables, in
which the user can select disaggregated social
indicators by country, and year.
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 were calculated from household
surveys and
thus have a sampling error associated to them.
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 , the following statistical indicators
of significance are presented:
standard error,
95% confidence intervals,
variation coefficient, and
number of observations.
Charts and tables in automatically do not display data if
:
The number of sample observations is less than 30,
and/or
The standard error exceeds 20% of the mean value
(i.e.: variation coefficient is greater than
20%).
Average values for indicators presented
in , 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.
Within , 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.
The definitions used for estimating
social indicators in are taken from the publication of the
United Nations (2003): “Indicators for Monitoring the
Millennium Development Goals. Definitions, Rationale,
Concepts and Sources”
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
19
No
Encuesta de Condiciones de Vida,
2001
27
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).
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.
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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