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-1.751.1.tar.gz (10.6 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-1.751.1-py3-none-any.whl (12.5 MB view details)

Uploaded Python 3

File details

Details for the file policyengine_us-1.751.1.tar.gz.

File metadata

  • Download URL: policyengine_us-1.751.1.tar.gz
  • Upload date:
  • Size: 10.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for policyengine_us-1.751.1.tar.gz
Algorithm Hash digest
SHA256 4326378a32591b24e2bbcb5704e38f257faed76d884f675160b736b60dc90d7a
MD5 4dcf1814f7fca82d935209c05eff5820
BLAKE2b-256 9ec70474ca1f5ce6417a6f4b5a51cbbdf3364ea2697d85ad376f3b4caca9ec9a

See more details on using hashes here.

File details

Details for the file policyengine_us-1.751.1-py3-none-any.whl.

File metadata

File hashes

Hashes for policyengine_us-1.751.1-py3-none-any.whl
Algorithm Hash digest
SHA256 04240594924cda25cc18bffac283edfe59d47e4c960f507ba423f42e1851101d
MD5 99fad38189f824c5bbd40c162e433fb0
BLAKE2b-256 8e14b15f02e4b6f8c6387fa2efa600be01b936428af0cb5dda372f4d3a51b4ee

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