Home / Central Data Catalog / IPUMS / IND_2015_DHS_V01_M_V02_A_IPUMS / variable [B]
ipums

[India] National Family Health Survey (NFHS-4) 2015-16 - IPUMS Subset

India, 2015 - 2016
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Reference ID
IND_2015_DHS_v01_M_v02_A_IPUMS
Producer(s)
International Institute for Population Sciences (IIPS) and ICF., Minnesota Population Center
Collection(s)
Integrated Public Use Microdata Series (IPUMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 15, 2018
Last modified
May 14, 2020
Page views
284887

Population density quinquennial time-series (2000-2020) (B_POPDENSITY)

Data file: IND2015-B.dat

Overview

Type: Discrete
Decimal: 0
Start: 3492
End: 3492
Width: 1
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category
1 POPDENSITY available
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 consists of a set of 5 separate variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month. Values for POPDENSITY are based on population projections from the results of the 2000 and 2010 rounds of censuses.

POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, for greater consistency in measurement than the DHS URBAN variable.

POPDENSITY, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.

concept

Concept
var_concept.title Vocabulary
Social Variables -- TOPICS IPUMS
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