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NZ Treasury data via eolas

The Treasury is New Zealand's principal economic and financial advisor to the government. eolas serves 5 datasets from Treasury — small in count but heavy in policy relevance: the fiscal headline numbers + GDP estimates + the New Zealand Superannuation Fund.

If you're tracking government spending, debt, fiscal sustainability, or NZSF performance — Treasury is the source.

What's in the catalogue

Dataset Description
treasury_fiscal_spending Government operating + capital spending. Sourced from Treasury's monthly Crown Financial Statements.
treasury_fiscal_revenue Crown revenue — tax, levies, sales of goods and services.
treasury_fiscal_debt Crown gross + net debt, by maturity. The metric monetary policy and credit-rating agencies watch.
treasury_gdp Treasury's own GDP estimates and forecasts — used for fiscal planning. Differs slightly from Stats NZ's published GDP for methodological reasons.
treasury_nzs_fund New Zealand Superannuation Fund total assets + monthly performance.

Refresh schedule

Monthly. Treasury publishes the Crown Financial Statements on its own schedule (typically 30 days after month-end); our refresh runs weekly to catch the release within 5-12 days.

meta = client.info("treasury_fiscal_spending")
meta["last_refreshed_at"]
meta["source_last_modified_at"]

License

All NZ Treasury data is published under CC-BY 4.0 per the Treasury Open Data policy. Commercial use is fine; attribution required.

Recommended attribution: "Source: The Treasury, served via eolas (eolas.fyi). CC-BY 4.0."

Common patterns

Track Crown net debt trajectory

import matplotlib.pyplot as plt

debt = client.treasury("treasury_fiscal_debt", start="2010-01-01")
# debt has columns: date, series (e.g. "net_debt", "gross_debt"), value
net = debt[debt["series"] == "net_debt"]
net.plot(x="date", y="value", title="Crown net debt (NZD millions)")
plt.show()

library(ggplot2)

debt <- eolas_get_treasury("treasury_fiscal_debt", start = "2010-01-01")
net  <- debt[debt$series == "net_debt", ]
ggplot(net, aes(date, value)) + geom_line() +
  labs(title = "Crown net debt (NZD millions)")

NZSF performance vs benchmark

nzsf = client.treasury("treasury_nzs_fund", start="2005-01-01")
nzsf.plot(x="date", y="value", title="NZSF total assets (NZD millions)")

Spending vs revenue (fiscal balance)

spending = client.treasury("treasury_fiscal_spending", start="2010-01-01")
revenue  = client.treasury("treasury_fiscal_revenue",  start="2010-01-01")

import pandas as pd
df = spending.merge(revenue, on="date", suffixes=("_spending", "_revenue"))
df["balance"] = df["value_revenue"] - df["value_spending"]
df.plot(x="date", y="balance", title="Crown fiscal balance (NZD millions)")

Source-specific notes

  • Treasury GDP vs Stats NZ GDP: Treasury publishes its own GDP estimate for use in fiscal planning. It's not Stats NZ's official GDP — small methodological differences mostly around forecast horizon and revisions cycle. For the canonical economic-statistics GDP, use nz_gdp_growth from OECD or Stats NZ's BDS series. For fiscal-context GDP (where Treasury is the source of truth), use treasury_gdp.
  • Monthly vs annual: most Treasury fiscal data is monthly (Crown Financial Statements) but treasury_nzs_fund is annual (fund's annual report). Check the date frequency in the response.
  • Forecasts vs actuals: Treasury also publishes forecasts (BEFU / HYEFU / Pre-Election Economic and Fiscal Update). The eolas datasets are actuals only. For forecasts, see Treasury's own publications page.
  • Half-year cycle: NZ government runs on a 1 July financial year. "FY2024" in Treasury data means July 2023 – June 2024.

Where to find more