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    Home / Central Data Catalog / IPUMS / PAK_2017_DHS_V01_M_V01_A_IPUMS / variable [H]
ipums

Demographic and Health Survey 2017-2018 - IPUMS Subset

Pakistan, 2017 - 2018
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Reference ID
PAK_2017_DHS_v01_M_v01_A_IPUMS
Producer(s)
National Institute of Population Studies (NIPS) [Pakistan], and ICF., Minnesota Population Center
Collection(s)
Integrated Public Use Microdata Series (IPUMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 01, 2020
Last modified
May 14, 2020
Page views
142293
  • Study Description
  • Data Description
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  • Data files
  • PAK2017-B.dat
  • PAK2017-C.dat
  • PAK2017-H.dat
  • PAK2017-M.dat
  • PAK2017-W.dat

Weight for height standard deviations from the reference median (DHS) (female household members) (H_HWFWTHTSDRM)

Data file: PAK2017-H.dat

Overview

Type: Discrete
Decimal: 0
Start: 452
End: 455
Width: 4
Range: -
Format: Numeric

Questions and instructions

Literal question
205) WEIGHT IN KILOGRAMS

KG _____.______
NOT PRESENT 99994
REFUSED 99995
OTHER 99996
Categories
Value Category
9997 Flagged cases
9998 Missing
9999 NIU (not in universe)
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
For female household members, HWFWTHTSDRM (HA11) reports the difference between the woman's weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. This variable uses a DHS reference standard.

An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. HWFWTHTSDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWFWTHTSDRM by 100 will yield the weight-for-height Z-score (WHZ) value.

The complementary DHS variable HWFWTHTPCTRMDHS (HA12) reports weight-for-height percentiles within the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature for further discussion.

concept

Concept
var_concept.title Vocabulary
Female anthropometry Variables -- TOPICS IPUMS
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