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    Home / Central Data Catalog / SEN_2012_DHS_V01_M_V01_A_IPUMS / variable [W]
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Demographic and Health Survey 2012-2013 - IPUMS Subset

Senegal, 2012 - 2013
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Reference ID
SEN_2012_DHS_v01_M_v01_A_IPUMS
Producer(s)
Agence Nationale de la Statistique et de la Démographie (ANSD) [Sénégal], and ICF International., Minnesota Population Center
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
64808
  • Study Description
  • Data Dictionary
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  • Data files
  • SEN2012-B.dat
  • SEN2012-C.dat
  • SEN2012-H.dat
  • SEN2012-W.dat

Source of family planning for non-users: Public hospital (W_FPNONPUBHOS)

Data file: SEN2012-W.dat

Overview

Type: Discrete
Decimal: 0
Start: 778
End: 778
Width: 1
Range: -
Format: Numeric

Questions and instructions

Literal question
325) Where is that?
Any other place?
PROBE TO IDENTITY THE TYPE OF SOURCE. IF UNABLE TO DETERMINE IF PUBLIC OR PRIVATE SECTOR, WRITE THE NAME OF THE PLACE.

(NAME OF PLACE(S)) ___________________

PUBLIC SECTOR

A GOVT. HOSPITAL
B GOVT. HEALTH CENTER
C HEALTH POST
D GOVT. FAMILY PLANNING CENTER
E RURAL MATERNITY
F HEALTH HUT
G COMMUNITY PHARMACY
H MOBILE CLINIC
I OTHER PUBLIC SECTOR (SPECIFY)

PRIVATE MEDICAL SECTOR

J PRIVATE HOSPITAL/CLINIC/OFFICE
K PHARMACY
L PRIVATE DOCTOR
M RELIGIOUS FREE CLINIC
N OTHER PRIVATE MEDICAL SECTOR (SPECIFY)

OTHER SOURCE

O SHOP
P CHURCH
Q FRIENDS/RELATIVES
R BAR

X OTHER (SPECIFY)
Categories
Value Category
0 No
1 Yes
8 Missing
9 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 women who are not currently using a method of contraception, FPNONPUBHOS (V3A00A) indicates whether, in response to an open-ended question, they reported a public hospital as a source for family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

concept

Concept
var_concept.title Vocabulary
Known source for non-users, general Variables -- TOPICS IPUMS
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