World Bank Indicators API

World Bank Indicators API is the front door to the World Development Indicators - the flagship statistical collection maintained by the World Bank with partner agencies, and the source behind most cross-country economic comparisons you have ever seen quoted. Behind it sit more than 16,000 series: manufacturing value added, R&D expenditure, high-technology exports as a share of manufactured exports, ICT goods trade, and the education, energy and demographic lines that give a technology argument its floor.

For Electronic Equipment & Instruments work, comparability is what earns the shelf space. One series definition applies identically in every member economy, so a five-country R&D-intensity screen is one shape of request rather than five national publications reconciled by hand. Regional and income aggregates ship next to the individual economies, which means the how does our market stack against the rest of the cohort question arrives pre-computed.

Datadory turns that catalogue into delivered data - filtered to the series, economies and periods you name, flattened to your schema, shipped on your cadence. Get a sample of this dataset and the dictionary below stops being hypothetical.

One captured observation beats a paragraph of specification. This is a real pull from cataloging - China reporting its high-technology export share for 2022:

indicator : TX.VAL.TECH.MF.ZS
            High-technology exports (% of manufactured exports)
country   : China (CHN)
date      : 2022
value     : 27.7650612563156

envelope  : page 1 of 2    per_page 3    total 6
refreshed : 2026-07-13

Three details in eight lines carry the weight. First, identity: the series code travels on the row, so a hundred-economy extract never loses track of what each number measures. Second, the null case is real - value stays empty wherever an economy did not report, keeping gaps explicit instead of letting them masquerade as zeros. Third, the envelope does the bookkeeping: page position, total matches and the date the collection was last refreshed ride with every result, so a pipeline can detect a new vintage without anyone remembering to check.

Fifteen fields carry every delivered row. Six form the envelope - the paging counters and refresh date that let a consumer walk a large result set deterministically - and nine make each row self-describing, from the layered economy identifiers through the observation itself. Definitions below were verified against live responses during cataloging in August 2026, including a genuine multi-year pull for China.

The layering is the quiet design win. An economy names itself three ways (two-letter code, ISO three-letter code, plain name) and a series names itself twice (code and readable title), so joins against your own geography or product taxonomy survive even when one of those keys is messy.

Geography - every World Bank member economy, plus the regional and income aggregates computed over them. The aggregates are quietly the useful half: an emerging-cohort question resolves against a maintained grouping instead of a hand-built country list, while individual economies stay addressable alongside it.

Temporal - varies by indicator, and the variation is documented rather than hidden. WDI series typically span multiple decades up to the latest annual vintage, and some series report quarterly or monthly. Year-range cuts and most-recent-value views are part of the delivery vocabulary, so a dashboard that wants the latest five readings does not drag four decades along for company.

Granularity - one row per economy-or-aggregate, per indicator, per period, at annual, quarterly or monthly frequency depending on the series. Nothing nests: the identifying stack flattens onto the observation, which is why the dictionary reads as one table rather than a join diagram.

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

You choose the channel and the cadence; the fifteen-field schema above travels unchanged through all three. Rows arrive flattened - one observation per economy, indicator and period - ready to join against shipment, production or pricing tables without a parsing stage. Cadence changes are a settings conversation, not a re-integration project, and a sample cut to your named series comes first either way.

• Cross-country competitiveness benchmarking - manufacturing value added, R&D expenditure and high-technology export share laid side by side across member economies on one series definition, turning a reconciliation project into a filter.
• Market-entry sizing and sequencing - structural indicators bracket candidate economies before field research commits budget; income and regional aggregates supply the cohort band around any single market.
• Long-horizon quant panels - decade-spanning observations with stable codes and explicit nulls drop into factor models and backtests without a cleaning week.
• Trade-exposure mapping - the high-technology and ICT goods trade lines show where electronics value chains concentrate and how fast the map is redrawing.
• Citation-grade briefing packs - every series carries its originating organization, which is what turns a chart into a defensible claim. See market researchers use cases.

Market researchers and consultants anchor cross-country sizings to definitions every party in the room can check; see market researchers use cases. Investors and quants run the decade-long macro panels as the context layer beneath sector positions; see investors quants use cases. Data scientists and ML engineers train on schema-stable, null-explicit panels that need no augmentation; see data scientists use cases. Journalists, academics and students cite figures with a named originating organization behind each number; see journalists academics use cases.

Four things worth knowing upfront. First, the headline count - more than 16,000 series - is a widely cited order of magnitude rather than a frozen inventory figure; the catalogue moves, and every delivery reports its exact totals beside the rows. Second, reporting depth varies by series and economy: some lines reach back decades for nearly every member, others thin out quickly, and the gaps stay explicit as nulls rather than smoothing themselves into zeros. Third, six of the twenty-one documented fields fold under additional fields on request because their representative values were not captured during cataloging - the fifteen-field core grid above is complete for paging and reading observations. Fourth, comparability comes with provenance attached: many series originate with partner organizations, each carrying its own methodology note, which is precisely what makes the figures quotable in a board deck.

If one series is the whole brief, the dedicated extraction already exists - vs World Bank High-Technology Exports Indicator walks through when the narrow cut beats the whole catalogue.

The Electronic Equipment & Instruments neighbourhood splits the job three ways: breadth, depth and detail. World Bank High-Technology Exports Indicator packages the single high-technology export series as its own dataset when one line answers the question. Federal Reserve G.17 Industrial Production - Electronics goes deep instead of wide, with monthly US production indexes and capacity utilization back to 1972. UN Comtrade Plus TradeFlow - Electrical Machinery & Instruments (HS 85/90) supplies the bilateral trade detail that aggregates only summarize. JEITA Electronics Shipment & Production Statistics tracks Japan's domestic production and shipments at month grain, and WIPO Global Innovation Index & IP Statistics ranks innovation systems when the question is trajectory rather than level.