Skip to main content

US federal and state tax-benefit microsimulation model.

Project description

PolicyEngine US

codecov PyPI version Code style: black

For microsimulation, use policyengine.py. Society-wide microsimulation — population aggregates and distributional or budgetary impacts — is moving to the managed policyengine.py bundle, which pins certified, calibration-gated datasets. Direct microsimulation via policyengine-us (Microsimulation()) is deprecated and being migrated to policyengine.py. This package remains the home of the US tax-benefit rules and household-level calculations. Microsimulation results are estimates — inspect dataset calibration at https://calibration-diagnostics.vercel.app/populace.

PolicyEngine US is a microsimulation model of the US state and federal tax and benefit system.

To install, run pip install policyengine-us.

To install PolicyEngine US as part of a certified PolicyEngine bundle, use the bundle installer published by policyengine, for example:

uvx --from policyengine policyengine bundle install --country us --venv .venv

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

policyengine_us-1.771.2.tar.gz (11.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

policyengine_us-1.771.2-py3-none-any.whl (13.4 MB view details)

Uploaded Python 3

File details

Details for the file policyengine_us-1.771.2.tar.gz.

File metadata

  • Download URL: policyengine_us-1.771.2.tar.gz
  • Upload date:
  • Size: 11.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for policyengine_us-1.771.2.tar.gz
Algorithm Hash digest
SHA256 046e9445554c90862a4ebc1920d136ed2de72bc42ea2ffbe3e799fd4acf0a2e4
MD5 c883ce4e5f0b0f9429361f5eecb39b29
BLAKE2b-256 b6ecf567ad1e60ec89484e69f7e928c1cdfcbbf11f25a2992929fe26bd85d040

See more details on using hashes here.

File details

Details for the file policyengine_us-1.771.2-py3-none-any.whl.

File metadata

File hashes

Hashes for policyengine_us-1.771.2-py3-none-any.whl
Algorithm Hash digest
SHA256 091e06e3609781c4f75fd9bb5a31e6e7bd3bf31caba50be6a1076691dd231016
MD5 5756bf15803f81f2cf51222cf6051ba9
BLAKE2b-256 20c369ecab31598927fbb75c058e7bf9a10f6bbcd448a3bfb1bf174a6a3c4db7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page