Destatis manufacturing statistics

Destatis manufacturing statistics is the official short-term business statistics of the German manufacturing sector, reshaped into one flat analytical table. Statistisches Bundesamt (Destatis) produces the series; Datadory delivers the electrical-equipment cut - WZ 27 - alongside the rest of the manufacturing branches, so the same pull returns the branch you sell into and the aggregates you get benchmarked against.

Three properties make the series unusually clean to work with. First, the base is explicit: 2021=100, so every reading is directly interpretable as a share of base-year conditions - the adjusted June 2026 value of 92.0 says seasonally comparable output ran roughly eight percent below the 2021 average. Second, the adjustment methodology is stated rather than implied: X-13 JDemetra+ for calendar-and-seasonal adjustment, Berlin procedure 4.1 as an alternative trend-cycle smoothing, both delivered as their own columns. Third, the branch spine is stable - WZ 2008 codes - which keeps a time series joined to its own definition across the whole history.

Five recent months of the electrical-equipment production index, shown exactly as they arrive:

# production index - manufacture of electrical equipment (WZ 27), base 2021=100
period : 2026 Jun   non_adjusted : 97.0   x13_adjusted : 92.0   yoy : +7.4%   mom : +0.2%
period : 2026 May   non_adjusted : 84.9   x13_adjusted : 91.8   yoy : -7.0%   mom : +0.7%
period : 2026 Apr   non_adjusted : 91.0   x13_adjusted : 91.2   yoy : -0.8%   mom : +0.2%
period : 2026 Mar   non_adjusted : 100.0   x13_adjusted : 91.0   yoy : +1.6%   mom : -0.1%
period : 2026 Feb   non_adjusted : 85.9   x13_adjusted : 91.1   yoy : -2.2%   mom : -0.2%

The two adjustment columns carry the argument for the whole dataset. Between February and March 2026 the non-adjusted value jumps 14.1 points, from 85.9 to exactly 100.0, while the X-13 adjusted series moves from 91.1 to 91.0 - seasonality, not signal, drives most of the movement in the raw series, and anyone modeling the unadjusted level mistakes working-day effects for a demand shift. Across these five months the adjusted series holds inside a single point, 91.0 to 92.0, which is the honest picture of where German electrical-equipment output stands relative to its 2021 base.

The May-to-June turn is the second lesson. Year-on-year change swings from -7.0% to +7.4% in one month - a 14.4-point reversal - while the adjusted month-on-month change moves just 0.2%. Headline percentages off the raw series produce stories that vanish under adjustment; the delivered columns let you tell both versions and know which one holds.

Six documented columns, defined in the table below. period is the join key - monthly grain, one row per branch per month - and it joins cleanly to any other monthly series you hold, from shipment ledgers to booking curves. non_adjusted and x13_adjusted are the level pair: raw versus seasonally comparable, and the gap between them is the seasonal pattern made visible rather than guessed at.

yoy_pct and mom_pct arrive precomputed - the year-over-year change off the raw index and the month-on-month change off the adjusted one - so reporting layers consume them directly instead of re-deriving ratios and rounding differently than the official figures. trend_cycle_bv4_1 is the quieter asset: a smoothed trend-cycle component built with Berlin procedure 4.1, which strips one-off shocks harder than standard seasonal adjustment and suits turning-point detection and forecasting features better than either level column.

• Geography - Germany, national totals. One country, measured consistently: Europe's largest manufacturing economy, which makes the German electrical-equipment line a proxy for continental component demand rather than a domestic curiosity.
• Temporal window - monthly observations on the 2021=100 base, carried from January 2021 forward on the headline cut, with longer histories available depending on the table. The rebased window keeps every observation on one comparable footing.
• Granularity - one row per month per WZ 2008 branch per series family; the standing short-term tables carry roughly sixty-plus monthly observations per branch. WZ 27 - manufacture of electrical equipment - is the cut this page describes, and neighbouring branches (machinery WZ 28, automotive WZ 29, chemicals WZ 20/21) ride in the same structure when a customer view needs the wider industrial context.

API, files, or your warehouse. Daily, weekly, or hourly.

You choose the channel and the cadence; the six-column dictionary travels unchanged through all three. Rows land typed - periods as dates, index levels as decimals, percentage changes as signed numerics - so the series joins against your own shipment or booking data on period alone instead of after a date-parsing project. Branch scope is a parameter, not a rebuild: a feed cut to WZ 27 widens to all of manufacturing without reshaping a column.

Demand benchmarking for component manufacturers. Plot your own German-market shipments against the adjusted index and the divergence is market share moving - visible within weeks on your delivery cadence rather than at year-end (competitive intel product teams use cases).

Macro nowcasting and model features. The precomputed change columns plus the Berlin-procedure trend cycle feed directly into nowcasts of eurozone industrial production, with a label quality no scraped dashboard matches (data scientists use cases).

Procurement and capacity planning. Cable, switchgear and transformer buyers read the adjusted series as the demand envelope behind tender volumes, sizing stock positions against the trend cycle instead of the seasonal noise.

Investor and credit surveillance. The WZ 27 line is a monthly health read on the German electrical industry - useful standalone, sharper diffed against the revenue reports of the listed players in the branch.

• Investors & Quants - a monthly, methodology-stable read on German electrical-equipment output for factor models and industrial exposure screens (data for investors and quants).
• Data Scientists & ML Engineers - typed monthly rows with official change columns as ground truth for nowcasting and demand-model targets (data for data scientists).
• Market Researchers & Consultants - the authoritative demand baseline underneath every German electrical-sector sizing engagement (data for market researchers).
• Competitive Intelligence & Product Teams - branch-level demand context that separates weak sell-through from a weak market (data for competitive intel and product teams).
• Developers & Data-Product Builders - small, stable, monthly-keyed rows behind dashboards and alerting products for the electro-industry (data for developers and builders).
• Sales Growth Teams - territory and account prioritization timed to the branch's own expansion and contraction months.

An official index reads differently depending on its neighbours. The NEMA electroindustry statistics & market programs supplies the North American industry-aggregate counterpart - orders and employment collected by the trade association itself - so the German official view and the US industry view land in one analytical frame. The OEC - Observatory of Economic Complexity adds the trade-flow layer, and we maintain a direct comparison of Destatis manufacturing statistics vs OEC for teams choosing between production-side and trade-side views. BEA GDP-by-industry (iTable) and ECIA electronic component sales data round out the demand-side panel for the wider industry slice (best electrical-components-equipment datasets).