FPwatch

India (2016): FP Watch Family Planning Outlet Survey

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

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

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 / codeDescription
outlet typeOutlet type
FP product availabilityFP product availability
service readinessService readiness
public/private sector flagsPublic/private sector flags
Formats

tabular

Technical tags
outlet surveystate-dataopen download
Example uses
Typical research and analysis uses for this dataset

Contraceptive market composition and supply-side gaps

Academic identifiers

Pairs well with

Many Indian data problems need survey + administrative combinations.