Demographic and Health Survey 1993, IPUMS Harmonized Subset

Burkina Faso, 1992 - 1993

Reference ID

BFA_1992_DHS_v01_M_v01_A_IPUMS

Producer(s)

Institut National de la Statistique et de la Démographie [Burkina Faso] and Macro International Inc, Minnesota Population Center

Collection(s)

Integrated Public Use Microdata Series (IPUMS) Fragility, Conflict and Violence

Metadata

Documentation in PDF DDI/XML JSON

Created on

Aug 15, 2018

Last modified

Aug 23, 2018

Page views

114903

Precipitation monthly time-series (C_PRECIP)

Data file: BFA1993-C

Overview

Valid: 0

Invalid: 0

Type: Continuous

Decimal: 0

Range: -

Format: Numeric

Description

Definition

PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date.

By adding PRECIP to your data cart, you are in effect adding 72 separate variables:

The 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date).
The month of the survey start date (PRECIP_00)
The 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.

concept

Concept

var_concept.title	Vocabulary
Environmental Variables -- PERSON	IPUMS

Imputation and derivation

Derivation

PRECIP variables are numeric variables.

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