World Health Survey Plus Nepal 2023
Wave 1

Nepal, 2023

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Reference ID

DDI-NPL-WHO-WHSPLUS-2023-V01

Producer(s)

Professor Abhinav Vaidya

Collections

World Health Survey Plus (WHS+)

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Apr 24, 2026

Last modified

May 05, 2026

Page views

79902

Downloads

972

q0405: sex (q0405_09)

Data file: WHS+NPLHHData

Overview

Valid: 369

Invalid: 6116

Type: Discrete

Decimal: 0

Width: 10

Range: 1 - 3

Format: Numeric

Questions and instructions

Literal question

To which gender do you most identify?

Categories

Value	Category	Cases
1	man	186	50.4%
2	woman	183	49.6%
3	non-binary	0	0%
Sysmiss		6116

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.

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