ashwingopalsamy/central-bank-policy-rates

Central Bank Policy Rates: India, US, Euro Area, UK, Canada, Australia and Brazil

An independent, reproducible dataset of seven central banks’ policy rates, built from each central bank’s own published series and statements. Every row cites its source, every rate is an exact number of basis points, and the whole dataset is rebuilt automatically when a bank publishes a decision. One dataset per country is also published: IN · US · EA · GB · CA · AU · BR.

Current build: data observed through 7 Oct 2026; daily coverage from 1 Jan 2000; 507 rate changes, 108 announced decisions and 60,860 daily rows.

At a glance

Country	Central bank	Instrument	Rate now	Since	Decisions	Series from
India	Reserve Bank of India	Policy repo rate	5.50%	7 Oct 2026	62	5 Jun 2000
United States	Federal Reserve	Federal funds target range	3.75–4.00%	17 Sept 2026	46	16 Nov 1999
Euro area	European Central Bank	Deposit facility rate	2.50%	16 Sept 2026	being added	5 Nov 1999
United Kingdom	Bank of England	Bank Rate	3.75%	18 Dec 2025	being added	4 Nov 1999
Canada	Bank of Canada	Target for the overnight rate	2.25%	30 Oct 2025	being added	21 Apr 2009
Australia	Reserve Bank of Australia	Cash rate target	4.60%	30 Sept 2026	being added	4 Jan 2011
Brazil	Banco Central do Brasil	Selic target	13.75%	17 Sept 2026	being added	1 Jan 2000

Questions this dataset answers directly:

• Which central banks are tightening and which are easing right now?
• How far apart are the Fed and the ECB today, and how has the gap moved since 2000?
• Which bank moved first in the 2022 tightening, and by how much did each raise rates that year?
• What rate was in force in every country on a given date?

This is not an official product of any central bank. For anything that matters, follow the source_url or statement_url on the row to the bank’s own publication.

Configurations

Configuration	Row grain	Rows	What it holds
rates (default)	One row per change in the rate	507	Every change point of the policy rate, with the level before and after, its era and its source.
daily	One row per calendar day per country	60,860	The rate in force on every calendar day, from 1 Jan 2000 (or the first point of the series, if later) to the date the official series was last observed. Ready to join to any daily or monthly data.
decisions	One row per announced decision, including holds	108	Every announced decision in the ledger, from the bank’s own statement or resolution: hikes, cuts and holds, with the vote, stance, a short excerpt and the statement link.
meetings	One row per scheduled meeting, past and upcoming	117	The meeting calendar, including meetings still to come, with the decision each held meeting produced.
cycles	One row per tightening or easing cycle	68	Each run of consecutive moves in one direction since the policy-rate era began, computed exactly as on the site: a cycle starts with the first move after a move the other way.
annual	One row per country per calendar year	169	Yearly summaries computed from rates and decisions: the rate at each end of the year, its range, the net and gross change, and how many hikes, cuts and holds there were.
countries	One row per country	7	What each country’s data covers: the bank, the instrument, the dates covered and the release it was built from.
eras	One row per instrument period	9	The periods in which one instrument and basis applied. A change of era is why change_bps is null at its first point.
events	One row per context event	8	Dated events that help read the rate history. Context only, not causal claims.
sources	One row per source	144	Every source the rows cite: official series, statements, calendars and labelled secondary sources.
transmission	One row per loan product per country	14	How the policy rate reaches common loans: the benchmark each is priced off, how often it resets and how directly a change passes through. Curated reference notes.

Every configuration has one split, full, because this is a historical record rather than a train/test corpus. The Parquet files under data/ are the only files mapped to configurations. CSV copies of every table and JSONL copies of rates and decisions are under exports/, deliberately left out of the configurations so the viewer does not count them twice. Column types are in schema/ and every column is described in schema/data-dictionary.json.

How to read the fields

• Rates are exact. rate_bps is an integer number of basis points; rate_pct is the same value in percent. For a target range (the Fed since 16 December 2008), rate_pct is the upper bound and rate_low_pct/rate_high_pct give both ends. A midpoint is never computed.
• rates is the canonical history. One row per change, with the rate before and after. change_bps is the signed change against the previous upper bound; it is null for the first point and at an era boundary, where an instrument or its basis changed and the two numbers are not comparable (India from 29 Oct 2004; United States from 16 Dec 2008).
• Eras say what the number is. era_basis is policy for the policy rate itself and observation for an earlier proxy kept for history, such as India’s pre-2004 repo auction rate. The eras configuration explains each boundary.
• Evidence is explicit. evidence is official for the bank’s own series or statement and secondary for a cited secondary source. Every row carries a source_id that joins to sources.
• Decisions include holds. decisions has one row per announced decision (RBI from 4 Oct 2016, Fed from 27 Jan 2021), so a meeting that left the rate unchanged is a row with direction = hold and change_bps = 0. announced_at is UTC; announced_at_local keeps the bank’s published time and offset. effective_date can follow the announcement (the Fed’s new range applies the next day).
• Series-only countries. Euro area, United Kingdom, Canada, Australia and Brazil have the full official series of rate changes, but announced decisions (and so holds and votes) are still being added. Their rows in annual carry null hold_count and decision_count rather than zero.
• daily gives the rate in force on every calendar day, including weekends, so it joins directly to other daily or monthly data.
• cycles are runs of consecutive moves in one direction, computed the same way as on Policy Rate Atlas: a new cycle starts with the first move after a move the other way. Only policy-era moves count.
• annual uses the rate in force on 1 January (the last change before it) and on 31 December, or the last observed date for the current year. is_partial_year marks a first or current year that the data does not fully cover.
• record_text is one deterministic sentence built from the fields, for search, retrieval and agents. No text is written by a language model.

Coverage

• India. Every MPC decision from 4 Oct 2016 from its official resolution; earlier rate changes from earlier published histories, with secondary sources labelled. Historical announcement times use 10:00 IST as a convention. Eras: Repo rate (pre-2004 usage: absorption) from 5 Jun 2000; Policy repo rate from 29 Oct 2004.
• United States. Every scheduled FOMC meeting from 27 Jan 2021, from its statement; target changes before then from the official FRED series (effective dates). Eras: Federal funds target rate from 27 Sept 1982; Federal funds target range from 16 Dec 2008.
• Euro area. Every change in the deposit facility rate from the ECB Data Portal (dates of change). Decision records and votes are being added.
• United Kingdom. Every change in Bank Rate from the Bank of England database (daily series). Decision records and votes are being added.
• Canada. Every change in the overnight rate target from Bank of Canada Valet (daily series from April 2009). Decision records are being added.
• Australia. Every change in the cash rate target from RBA table F1 (daily series from January 2011). Decision records are being added.
• Brazil. Every change in the Selic target from BCB SGS series 432 (daily). Decision records are being added.

Load it

from datasets import load_dataset

repo = "ashwingopalsamy/central-bank-policy-rates"
rates = load_dataset(repo, split="full")                 # every change, the default configuration
decisions = load_dataset(repo, "decisions", split="full")
uk = rates.filter(lambda row: row["country_code"] == "GB")

import pandas as pd

daily = pd.read_parquet("hf://datasets/ashwingopalsamy/central-bank-policy-rates/data/daily.parquet")
wide = daily.pivot(index="date", columns="country_code", values="rate_pct")   # one column per bank

import polars as pl

cycles = pl.read_parquet("hf://datasets/ashwingopalsamy/central-bank-policy-rates/data/cycles.parquet")
print(cycles.filter(pl.col("is_current")))

-- DuckDB
SELECT country_code, year, start_rate_pct, end_rate_pct, net_change_bps, hike_count, cut_count
FROM 'hf://datasets/ashwingopalsamy/central-bank-policy-rates/data/annual.parquet'
ORDER BY country_code, year;

Provenance and verification

Each country’s data comes from one content-addressed release, also served by the site’s open API at https://rates.ashwingopalsamy.in/api/v1/:

Country	Release (SHA-256 content hash)	Observed through
India	6b9bdc02c553c5cdb32c49c1a749a6e7760d2e0adcfe28990fed8b9719739060	7 Oct 2026
United States	03ec07b603a974f34ed004641972824ef876a33b09f49ab41002ad807fd72f2d	6 Oct 2026
Euro area	499b2f064dfe033ce9bc5d0dabb98ef8e48b2db44d66ff48a02ec929e91acb1b	7 Oct 2026
United Kingdom	38d45b4be6a03ceca1a86a766772e94f807c1b0db7ca30408eed922982835ff1	6 Oct 2026
Canada	5c0b58687989dd75230cd64f7ab6d37381e4eddaece2a82bb73a8d3ba6c41cf5	6 Oct 2026
Australia	fd81f8557e007c68c78b0ef835dd5464cb7313612afd0e3bdd3f7f3ce319324a	6 Oct 2026
Brazil	59c6949350fb38008d952ac1510c310429ae0f266d9f4524660a0ba9ff53155a	7 Oct 2026

provenance/build-manifest.json records those releases, the row count of every configuration and a checksum of every file; SHA256SUMS covers everything. The build is byte-for-byte reproducible from the source repository:

npm ci && pip install -r requirements-hf-dataset.txt
npm run build:hf && npm run test:hf-dataset

Attribution and terms

Each publisher’s own terms apply to its data. NOTICE.md lists them with the attribution each asks for. No blanket dataset licence is asserted.

Limitations

• Coverage differs by country: announced decisions are not yet available for Euro area, United Kingdom, Canada, Australia and Brazil. See countries.coverage_note.
• Dates are the bank’s local dates. Historical announcement times for India before the published calendar use 10:00 IST as a convention.
• transmission and events are curated context, not exhaustive and not causal claims.
• Nothing here is a forecast or advice.

Citation

@dataset{gopalsamy_central_bank_policy_rates_2026,
  author    = {Gopalsamy, Ashwin},
  title     = {Central Bank Policy Rates: India, US, Euro Area, UK, Canada, Australia and Brazil},
  year      = {2026},
  version   = {1.0.0},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/ashwingopalsamy/central-bank-policy-rates}
}

Changes between versions are in CHANGELOG.md. The live view of this data is Policy Rate Atlas.