How do you access FP Watch India 2016 data?

FP Watch India 2016 is labeled “Open download” on this guide. Open the access portal or documentation links on the record for the current host process—do not assume open download if registration or a DUA is required.

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FPwatch

India (2016): FP Watch Family Planning Outlet Survey

Name: India (2016): FP Watch Family Planning Outlet Survey
Creator: PSI / FPwatch

FP Watch India 2016 is used to study family-planning product availability and outlet readiness in Bihar and Uttar Pradesh.

Open downloadSurvey microdataLarge

Bryan Shaw; Vivek Sharma; et al. (PSI FPwatch) · 2017 · Harvard Dataverse

health family planning

Host / institution

Harvard Dataverse · PSI / FPwatch

Geography

Bihar, Uttar Pradesh, outlet

Time coverage

2016 baseline outlet round

Update frequency

2016 survey deposit

What this is best for

Family-planning market and outlet readiness in Bihar and Uttar Pradesh

Main limitations

Outlet survey design—not household fertility microdata like NFHS

Quick answers

Short research-facing answers derived from this catalog record.

What is FP Watch India 2016 used for?: Family-planning market and outlet readiness in Bihar and Uttar Pradesh
How do you access FP Watch India 2016 data?: FP Watch India 2016 is labeled “Open download” on this guide. Open the access portal or documentation links on the record for the current host process—do not assume open download if registration or a DUA is required.
What geography and time does FP Watch India 2016 cover?: Geography: Bihar, Uttar Pradesh, outlet. Time coverage: 2016 baseline outlet round.
What are the main limitations of FP Watch India 2016?: Outlet survey design—not household fertility microdata like NFHS

Guides for using this data

Official portals, user guides, codebooks, and tutorials for access and analysis.

1 link

PortalFPwatch India 2016 Dataversedoi.org/10.7910/DVN/5YN6HL

Variables4

Representative fields from Harvard Dataverse materials (confirm full dictionary on the official portal). Representative fields for the page table — verify the full dictionary on the official site.

Open official dictionary

Name / code	Description	Group
outlet type	Outlet type	Representative fields
FP product availability	FP product availability	Representative fields
service readiness	Service readiness	Representative fields
public/private sector flags	Public/private sector flags	Representative fields

Formats

tabular

Technical tags

outlet surveystate-dataopen download

Example uses

Contraceptive market composition and supply-side gaps

Research and articles using this data

Verified examples that analyze, reuse, introduce, or visualize this dataset. Search matches without evidence are not published here.

3 verified sources

Scholarly works3

Journal articleAnalyzes data
FPwatch: Facility‐based Survey Data for Family Planning Market Analysis in Five FP2020‐focus Countries
Saleh Babazadeh, Katherine Thanel, Danielle Garfinkel · et al. · Studies in Family Planning · 2018
Analyzes FP Watch India 2016 data in the context of: "FPwatch: Facility‐based Survey Data for Family Planning Market Analysis in Five FP2020‐focus Countries".
Journal articleAnalyzes data
Contraceptive Practice and Fertility in Thailand: Results of the Third Contraceptive Prevalence Survey
Aphichat Chamratrithirong, Peerasit Kamnuansilpa, John Knodel · Studies in Family Planning · 1986
Analyzes FP Watch India 2016 data in the context of: "Contraceptive Practice and Fertility in Thailand: Results of the Third Contraceptive Prevalence Survey".
Journal articleAnalyzes data
Contraceptive Use and Fertility in Thailand: Results from the 1984 Contraceptive Prevalence Survey
Peerasit Kamnuansilpa, Aphichat Chamratrithirong · Studies in Family Planning · 1986
Analyzes FP Watch India 2016 data in the context of: "Contraceptive Use and Fertility in Thailand: Results from the 1984 Contraceptive Prevalence Survey".

Scholarly checked:: 10 Sept 2026
Web checked:: Not checked yet

Academic identifiers

Data DOI: 10.7910/DVN/5YN6HL

Open access portal Data DOI

Pairs well with

Many Indian data problems need survey + administrative combinations.