KOF Economic Barometer signals (monthly)

No commercial useFresh

Downloads are disabled for this dataset: its license prohibits commercial use. The documentation, schema and sample rows stay available here.

Monthly Swiss business-cycle pulse from the KOF Swiss Economic Institute's Economic Barometer (keyless official TSDB API, 1991 to present): the institute's leading indicator for the Swiss economy, long-term average 100, with a trailing 3-month moving average, month-over-month / year-over-year momentum, deviation from 100, a trailing-10-year z-score, documented above/below-average regime labels, rapid-heating/cooling flags, trailing-10-year record-high/low flags and a below-average streak counter. An online shop joins orders to month for demand-regime features, a subscription business joins churn/dunning cohorts, and a sales team joins pipeline timing. Caveats: a survey-based leading indicator, not observed GDP — single-month prints are noisy; history is revised by the publisher. KOF/ETH Zurich: non-commercial reuse with attribution; commercial reuse needs prior written consent.

Source: KOF Swiss Economic Institute (ETH Zurich)
Rows: 429
Columns: 16
Source cadence: Monthly
Last refreshed: Oct 9, 2026
Theme: economy

Column	Type	Description
month	string	Observation month (first day of the month, ISO date); panel join key. KOF publishes the barometer near month-end. (unit: date)
country_code	string	ISO 3166-1 alpha-2 country code; always 'CH' (Switzerland). (unit: string)
barometer	float	KOF Economic Barometer index, kept verbatim as published (key ch.kof.barometer). A leading indicator for the Swiss business cycle; long-term average 100. (unit: index points)
barometer_3m_ma	float	Trailing 3-month moving average of the barometer (the steadier read; single-month prints are noisy). (unit: index points)
barometer_mom_pp	float	Month-over-month change of the barometer, in index points. (unit: index points)
barometer_yoy_pp	float	Year-over-year change of the barometer, in index points. (unit: index points)
dev_from_100	float	Barometer minus 100: distance from the long-term average (positive = above-average growth outlook). (unit: index points)
barometer_z10y	float	Trailing-10-year z-score of the barometer (minimum 24 observations): how hot or cold the cycle runs versus the past decade. (unit: z-score)
cycle_regime	string	Documented regime on the 100 anchor: 'above_average' (barometer >= 100) or 'below_average' (barometer < 100). (unit: string)
above_avg_flag	integer	1 when the barometer is at or above its long-term average of 100. (unit: boolean)
rapid_cooling_flag	integer	1 when the month-over-month change is -3.0 index points or worse (a sharp monthly deterioration). (unit: boolean)
rapid_heating_flag	integer	1 when the month-over-month change is +3.0 index points or better (a sharp monthly improvement). (unit: boolean)
record_high_10y_flag	integer	1 when the print is the trailing-10-year maximum (minimum 60 observations). (unit: boolean)
record_low_10y_flag	integer	1 when the print is the trailing-10-year minimum (minimum 60 observations). (unit: boolean)
below_avg_streak	integer	Consecutive months with the barometer below 100 ending this month (0 when the month itself is >= 100): the soft-patch clock. (unit: months)
row_hash	string	Deterministic 16-hex sha256 of the month (idempotency key). (unit: string)

First 10 sample rows — a preview, not the complete dataset.

month	country_code	barometer	barometer_3m_ma	barometer_mom_pp	barometer_yoy_pp	dev_from_100	barometer_z10y	cycle_regime	above_avg_flag	rapid_cooling_flag	rapid_heating_flag	below_avg_streak	row_hash
1991-01-01	CH	89.856	—	—	—	-10.144	—	below_average	0	0	0	1	cccd2ad3090d926c
1991-02-01	CH	74.728	—	-15.128	—	-25.272	—	below_average	0	1	0	2	20dc93d7b2f16efd
1991-03-01	CH	87.774	84.119	13.046	—	-12.226	—	below_average	0	0	1	3	5b9b581e4bc8905c
1991-04-01	CH	94.058	85.52	6.285	—	-5.942	—	below_average	0	0	1	4	da2789d2eddbceb0
1991-05-01	CH	96.204	92.679	2.145	—	-3.796	—	below_average	0	0	0	5	4af6cf6e190de275
1991-06-01	CH	92.203	94.155	-4	—	-7.797	—	below_average	0	1	0	6	a727200486ea7970
1991-07-01	CH	93.318	93.908	1.115	—	-6.682	—	below_average	0	0	0	7	d5603380e3423320
1991-08-01	CH	94.091	93.204	0.772	—	-5.909	—	below_average	0	0	0	8	0a9f31e36bf4a8d6
1991-09-01	CH	98.57	95.326	4.479	—	-1.43	—	below_average	0	0	1	9	0648c4811d7bd618
1991-10-01	CH	100.238	97.633	1.667	—	0.238	—	above_average	1	0	0	0	5c260986905b11c1

Profiled Oct 9, 2026 from snapshot 20261009T204026Z-084280e3cd46

Measured

Completeness: 99.4%
Rows: 429
Columns: 16
Columns with gaps: 4

Rows per yearmonth · 1991–2026 · 36 years

19912026

Column	Missing	Distinct	Range	Distribution
monthvarchar	0%	392	—	1991-01-011 1991-02-011 1991-03-011
country_codevarchar	0%	1	—	CH429
barometerdouble	0%	383	48.3 → 128.46median 99.97	10 outside 1st–99th percentile
barometer_3m_madouble	0.47%	444	64.28 → 125.03median 99.98	10 outside 1st–99th percentile
barometer_mom_ppdouble	0.23%	409	-32 → 29.15median 0.054	10 outside 1st–99th percentile
barometer_yoy_ppdouble	2.8%	408	-48.78 → 80.16median 0.7606	10 outside 1st–99th percentile
dev_from_100double	0%	401	-51.7 → 28.46median -0.0338	10 outside 1st–99th percentile
barometer_z10ydouble	5.4%	405	-6.09 → 3.05median 0.0729	10 outside 1st–99th percentile
cycle_regimevarchar	0%	2	—	below_average216 above_average213
above_avg_flagbigint	0%	2	0 → 1median 0
rapid_cooling_flagbigint	0%	2	0 → 1median 0
rapid_heating_flagbigint	0%	2	0 → 1median 0
record_high_10y_flagbigint	0%	2	0 → 1median 0
record_low_10y_flagbigint	0%	2	0 → 1median 0
below_avg_streakbigint	0%	27	0 → 25median 1	3 outside 1st–99th percentile
row_hashvarchar	0%	392	—	013a2b17513acfdd1 01918a58dc002a231 028c10e320cabe441

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/kof_barometer_intel/kof_barometer_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/kof_barometer_intel/kof_barometer_monthly").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/kof_barometer_intel/kof_barometer_monthly

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20261009T204026Z-084280e3cd46 and its content hash, so readers get exactly the data you used.

APA

KOF Swiss Economic Institute (ETH Zurich). (2026). KOF Economic Barometer signals (monthly) [Data set, snapshot 20261009T204026Z-084280e3cd46, sha256 084280e3cd46]. Datazimuts. Retrieved 2026-10-10, from https://datazimuts.com/en/datasets/kof_barometer_intel/kof_barometer_monthly?snapshot=20261009T204026Z-084280e3cd46

BibTeX

@misc{dz_kof_barometer_intel_kof_barometer_monthl_084280e3,
  title        = {{KOF Economic Barometer signals (monthly)}},
  author       = {{KOF Swiss Economic Institute (ETH Zurich)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/kof_barometer_intel/kof_barometer_monthly?snapshot=20261009T204026Z-084280e3cd46}},
  note         = {Snapshot 20261009T204026Z-084280e3cd46, sha256 084280e3cd46d96fe05d796cb91bb5492d3fe870d5f189979331e989286c1f88; accessed 2026-10-10}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=kof_barometer_intel%2Fkof_barometer_monthly&lang=en&theme=auto&snapshot=20261009T204026Z-084280e3cd46&x=month&y=barometer&agg=avg" title="KOF Economic Barometer signals (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>