Home / Central Data Catalog / IPUMS / BDI_2010_DHS_V01_M_V01_A_IPUMS / variable [B]
ipums

Demographic and Health Survey 2010 - IPUMS Subset

Burundi, 2010
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Reference ID
BDI_2010_DHS_v01_M_v01_A_IPUMS
Producer(s)
Institut de Statistiques et d’Études Économiques du Burundi (ISTEEBU), Ministère de la Santé Publique et de la Lutte contre le Sida [Burundi] (MSPLS), et ICF International., Minnesota Population Center
Collection(s)
Integrated Public Use Microdata Series (IPUMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 01, 2020
Last modified
May 14, 2020
Page views
147721

Population density 2015 (B_POPDENSITY_2015)

Data file: BDI2010-B.dat

Overview

Type: Discrete
Decimal: 0
Start: 3126
End: 3132
Width: 7
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category
-000998 Missing
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Description

Definition
POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable.

Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015 [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.

concept

Concept
var_concept.title Vocabulary
Social Variables -- TOPICS IPUMS
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