Madagascar - Measuring Urban Living Standards in Antananarivo 2016

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The objective of the Antananarivo Urban Poverty and Resilience Study is to identify policy actions that have a high potential to improve the quality of life and increase the resilience of the poor in Antananarivo and to inform the national government and municipal authorities on how to better target and finance poverty reduction programmes. The survey will hope to meet these objectives by: i. Collecting data to allow for poverty and vulnerability analysis in order to better understand the spatial distribution of poverty in Antananarivo; ii. Collecting data to allow for the analysis of the availability of infrastructure, access to basic services, as well as the incidence of natural hazards; and iii. Collecting data to allow for the analysis of the ability of the poor to protect against risk and cope with disasters.

Type: 
Microdata
Acronym: 
TANA-LSMS 2016
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Madagascar
Release Date: 
November 6, 2017

Last Updated

Last Updated: 
November 6, 2017

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
9636
Version Description: 
Version 01
Funding Name, Abbreviation, Role: 
The World Bank
Unit of Analysis: 
- Household- Individual
Primary Investigator Name, Affiliation: 
The World Bank
Sampling Procedure: 
A multi-stage random selection process was used to select households for interview for the Antananarivo Urban Poverty and Resilience Study. The following sampling stages were completed: (1) Selection of EAs; (2) Selection of dwellings; (3) Selection of Households; (4) Selection of Random Respondent. These calculations are necessary to be able to calculate a household sample weight. Due to the complex multi-stage nature of sampling that was used for this study, sample weights are required to correct for the potential that individual study units, i.e. households are selected with unequal sampling probabilities. For further details on sample design and implementation, see Section 4 of Antananarivo Urban Poverty and Resilience Study report.
Time Periods: 
November, 2017

No Visualizations Available.

Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download

The objective of the Antananarivo Urban Poverty and Resilience Study is to identify policy actions that have a high potential to improve the quality of life and increase the resilience of the poor in Antananarivo and to inform the national government and municipal authorities on how to better target and finance poverty reduction programmes. The survey will hope to meet these objectives by: i. Collecting data to allow for poverty and vulnerability analysis in order to better understand the spatial distribution of poverty in Antananarivo; ii. Collecting data to allow for the analysis of the availability of infrastructure, access to basic services, as well as the incidence of natural hazards; and iii. Collecting data to allow for the analysis of the ability of the poor to protect against risk and cope with disasters.

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Modified Date
2020-04-15
Release Date
Identifier
0c3ae0aa-4420-458e-9e20-6c7597c2dc8a
License
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Acronym: 
TANA-LSMS 2016
Type: 
Languages Supported: 
Time Periods: 
November, 2017
Primary Investigator Name, Affiliation: 
The World Bank
Version Description: 
Version 01
Unit of Analysis: 
- Household- Individual
Geographical Coverage: 
Data Classification of a Dataset: 
Sampling Procedure: 
A multi-stage random selection process was used to select households for interview for the Antananarivo Urban Poverty and Resilience Study. The following sampling stages were completed: (1) Selection of EAs; (2) Selection of dwellings; (3) Selection of Households; (4) Selection of Random Respondent. These calculations are necessary to be able to calculate a household sample weight. Due to the complex multi-stage nature of sampling that was used for this study, sample weights are required to correct for the potential that individual study units, i.e. households are selected with unequal sampling probabilities. For further details on sample design and implementation, see Section 4 of Antananarivo Urban Poverty and Resilience Study report.
Release Date: 
Monday, November 6, 2017
Last Updated Date: 
Monday, November 6, 2017
Harvest Source: 
Harvest System ID: 
9636
Citation Text: 
Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download
Modified date: 
17476
Primary Dataset: 
Yes
Mode of Data Collection: 

Computer Assisted Personal Interview

Funding Name, Abbreviation, Role: 

The World Bank

Data Access and Licensing

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is made available under the World Bank Microdata Research License

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