# svy — design-based survey analysis in Python

> Open-source Python ecosystem for complex survey data: estimation and
> design-based inference (svy), small area estimation (svy-sae), and
> SPSS/Stata/SAS survey file I/O (svy-io). svyLab (https://svylab.com)
> is the hosted analysis platform built on top of these packages.
> Open-source hub (all libraries, Learn, playground): https://svylab.com/svy

## svy documentation

- [Overview](https://svylab.com/docs/svy/)
- [Getting started](https://svylab.com/docs/svy/getting_started.html)
- [API reference](https://svylab.com/docs/svy/reference/index.html)
- [Tutorials](https://svylab.com/docs/svy/tutorials/index.html)
- [Installation](https://svylab.com/docs/svy/tutorials/installation.html)
- [Quick tour: the Sample object](https://svylab.com/docs/svy/tutorials/sample_quicktour.html)
- [Survey parameter estimation](https://svylab.com/docs/svy/tutorials/estimation.html)
- [Survey weighting](https://svylab.com/docs/svy/tutorials/weighting.html)
- [Replicate weights for variance estimation](https://svylab.com/docs/svy/tutorials/weighting-replicates.html)
- [Categorical data analysis](https://svylab.com/docs/svy/tutorials/categorical.html)
- [Generalized linear models (GLMs)](https://svylab.com/docs/svy/tutorials/glm.html)
- [Survey planning and sample size calculation](https://svylab.com/docs/svy/tutorials/planning.html)
- [Sample selection](https://svylab.com/docs/svy/tutorials/selection.html)
- [Survey data wrangling](https://svylab.com/docs/svy/tutorials/wrangling.html)
- [Datasets](https://svylab.com/docs/svy/guides/datasets.html)
- [Survey weighting](https://svylab.com/docs/svy/guides/weighting.html)
- [Weight adjustment and calibration](https://svylab.com/docs/svy/guides/weighting_calibration.html)
- [Sample size](https://svylab.com/docs/svy/guides/size.html)
- [Changelog (release notes)](https://svylab.com/docs/svy/changelog.html)

## svy-sae documentation

- [Overview](https://svylab.com/docs/svy-sae/)
- [Getting started](https://svylab.com/docs/svy-sae/getting_started.html)
- [API reference](https://svylab.com/docs/svy-sae/reference/index.html)
- [Tutorials](https://svylab.com/docs/svy-sae/tutorials/index.html)
- [Installation](https://svylab.com/docs/svy-sae/tutorials/installation.html)
- [Quick tour](https://svylab.com/docs/svy-sae/tutorials/quicktour.html)
- [Fay-Herriot model (area-level small area estimation)](https://svylab.com/docs/svy-sae/tutorials/fh.html)
- [Battese-Harter-Fuller EBLUP (unit-level small area estimation)](https://svylab.com/docs/svy-sae/tutorials/bhf.html)
- [Molina-Rao EB method (unit-level small area estimation)](https://svylab.com/docs/svy-sae/tutorials/molinarao.html)

## svy-io documentation

- [Overview](https://svylab.com/docs/svy-io/)
- [SPSS file I/O](https://svylab.com/docs/svy-io/spss.html)
- [Stata file I/O](https://svylab.com/docs/svy-io/stata.html)
- [SAS file I/O](https://svylab.com/docs/svy-io/sas.html)
- [Changelog (release notes)](https://svylab.com/docs/svy-io/changelog.html)

## Learn — tutorials, case studies, and validation studies

- [Learn hub](https://svylab.com/learn/)
- [Python's svy vs R's survey: identical results across 37 estimators](https://svylab.com/learn/notes/posts/svy-vs-r-comparison/)
- [How fast is svy? Performance benchmarks against R's survey](https://svylab.com/learn/notes/posts/svy-performance/)
- [svy: design-based survey analysis in Python](https://svylab.com/learn/notes/posts/design-based-survey-analysis-in-python/)
- [Technical notes on survey statistics in Python](https://svylab.com/learn/notes/)
- [Case studies](https://svylab.com/learn/case-studies/)
- [svy on NHANES, August 2021-August 2023](https://svylab.com/learn/case-studies/nhanes-overview/)
- [svy on Canada's Labour Force Survey, July 2026](https://svylab.com/learn/case-studies/lfs-canada-july-2026/)
- [svy on Mexico's ENIGH survey](https://svylab.com/learn/case-studies/enigh-mexico-2026/)
- [svy on Brazil's TIC Domicílios survey](https://svylab.com/learn/case-studies/tic-domicilios-brazil-2026/)
- [Workshops](https://svylab.com/learn/workshops/)
- [Workshop: 2025 Medical Expenditure Panel Survey (MEPS-HC)](https://svylab.com/learn/workshops/meps-2025/)
- [Books](https://svylab.com/learn/books/)