Electronic Equipment & Instruments Data: Production, Trade, Patents and the Component Layer · Head-to-head
World Bank High-Technology Exports Indicator vs World Bank Indicators API
Which electronic equipment & instruments data: production, trade, patents and the component layer data fits your job: World Bank High-Technology Exports Indicator, or World Bank Indicators API. API, files, or your warehouse. Daily, weekly, or hourly.
World Bank High-Technology Exports Indicator
World Bank Indicators API
Where the fields line up
6 shared fields — join on these.
| Field | World Bank High-Technology Exports Indicator | World Bank Indicators API |
|---|---|---|
country.id | ISO 3166 two-letter economy code; aggregate codes mark regional and income groupings. | Two-letter economy or aggregate code. |
country.value | Plain-language economy name. | Plain-language economy or aggregate name. |
countryiso3code | ISO 3166 three-letter economy code for joining against external country masters. | ISO 3166 three-letter economy code for joining against external masters. |
date | Observation year as a string. | Observation period - year, quarter or month depending on the series frequency. |
value | The observation itself - percentage share of manufactured exports on the share series, current US dollars on the companion series; null where an economy did not report. | Observed indicator value; null where the economy did not report. |
lastupdated | Date the source collection was last refreshed, reported with every response so a consumer can detect a new vintage. | Date the underlying source collection was last refreshed. |
Coverage, side by side
| World Bank High-Technology Exports Indicator | World Bank Indicators API | |
|---|---|---|
| Granularity | One row per economy-year | One row per economy-indicator-period; annual, quarterly or monthly where the series supports it |
What each contains
They tie on 1 attribute. Pick by fit, not by loyalty.
| World Bank High-Technology Exports Indicator | World Bank Indicators API | |
|---|---|---|
| Publisher | World Bank, within the World Development Indicators programme | World Bank |
| Documented fields | 13, definitions verified | 21, definitions verified |
| Scope | One pre-built benchmark: high-technology exports as a share of manufactured exports, with a current-dollar companion series | The full development catalogue: 16,000+ series including R&D expenditure, manufacturing value added and ICT goods trade |
| Unit of analysis | One row per economy-year | One row per economy-indicator-period; annual, quarterly or monthly where the series supports it |
| Signature extra | Named high-R&D basket: aerospace, computers, pharmaceuticals, scientific instruments, electrical machinery | Topic classification, per-series attribution and a self-describing result envelope |
What each does better
the World Bank High-Technology Exports Indicator
Zero selection risk. The question - what share of manufactured exports is high-technology? - arrives already built. There is no choosing among 16,000 candidate series, no checking whether the one you picked measures what its name suggests. One economy-year, one number, done. For a benchmark cell in a dashboard or a league table of export competitiveness, that certainty is the product.
Two lenses on one concept. The share tells you how tilted an economy's manufacturing export mix is toward high-R&D goods; the current-dollar companion tells you the weight of the same thing in money. Live readings for China read 27.77 percent for 2022 after 30.22 in 2021 and 31.28 in 2020 - a declining tilt you can restate in dollars without hunting for a second source.
A named basket. The series defines its subject explicitly: products with high R&D intensity - aerospace, computers, pharmaceuticals, scientific instruments, electrical machinery. That list is why the indicator works as an electronics-sector proxy at all, and it is written down rather than implied. The underlying figures are an aggregation of reported bilateral trade, credited to UN Comtrade provenance via the World Bank's trade system.
Built-in context. The indicator sits inside an export-composition family - agricultural raw materials, food, fuel, ICT goods, manufactures, ores and metals - so the high-tech share can be read against what else an economy ships. Explore the full field dictionary.
the World Bank Indicators API
Breadth. Sixteen thousand-plus series: R&D expenditure, manufacturing value added, ICT goods trade, and the high-technology export numbers themselves. Any analysis that needs covariates around the benchmark - does rising R&D spending precede a rising high-tech share? - happens here, in one consistent cross-country frame.
Composability. Multi-country and multi-series requests go out as one documented call, with semicolon-separated economies and a documented ceiling of 60 indicators per request inside a 4,000-character address. Date handling stretches beyond years: month ranges, quarter ranges and year-to-date forms, plus most-recent-value modes that backtrack gaps.
Self-describing results. Every response documents where it stands - pagination position, total records, source database identifier, the date the underlying dataset was refreshed - and every series carries its own methodology note, attributing organization and topic tags. Output is available in English, Spanish, French, Arabic, Chinese and roughly eighteen further locale variants.
An honest limit worth knowing: no sorting is offered on the service side, so ordering happens downstream in your own pipeline.
Where they're equivalent
More than anywhere else in this catalog. Both anchor in the same World Development Indicators programme - the indicator is one series in it, the catalogue is all of it - so the numbers agree to the decimal when they describe the same thing: China's high-technology export share reads 27.7650612563156 for 2022 whether the row comes from the benchmark page or the catalogue. Both carry verified field dictionaries, both score 8/10, both observe the world at country-year grain, and both cover 200-plus economies alongside World Bank regional and income aggregates.
They also share their limits. Neither decomposes the high-technology basket into actual products - the precise goods list is defined upstream in trade documentation, not enumerated in either field dictionary. Neither offers subnational geography: a national export share cannot tell you which province or cluster produced it. And neither revises history silently - the last-updated stamp each carries, 2026-07-13 on live metadata, applies to the whole vintage rather than per-row, so you cannot tell from a row alone when its particular value last changed.
The verdict
Verdict: sample both - they are two altitudes of one question, and each is the wrong tool for the other's job.
Take the High-Technology Exports Indicator when the question is already formed: a competitiveness benchmark for country memos, a tilt measure for an electronics export screen, a league table column that must mean the same thing in every market, a fast sanity check before a deeper build. Its narrowness is the feature - one defined series, one definition, no assembly required.
Accept its trade-offs - you choose the series, and ordering stays your problem.
Request samples of each and let the rows decide; the dictionaries are verified on both sides, so what you see in the sample is what ships.
Sample both, pick by fit. See World Bank High-Technology Exports Indicator · See World Bank Indicators API
Or take both in one feed
Yes - and the honest workflow is to start narrow and widen. Prototype on the benchmark: one series, 200-plus economies, instant league table of who sells high-R&D goods. When a country or a trend looks interesting, widen on the catalogue side for the explanation set - R&D spending trajectories, manufacturing value added, ICT goods flows - and test whether the benchmark's movers have covariates. Because place, time and magnitude are field-for-field identical across the two dictionaries, the join is countryiso3code plus date, no cleaning pass needed.
Two cautions before you trust the merged table. First, never mix the units: the share of manufactured exports and the current-dollar companion answer different questions, and adding them is a category error - decide which lens each column wears. Second, respect the nulls: an empty value marks an unpublished figure, not a zero, and treating it as nil quietly shrinks small economies out of your averages. Handled, the pair gives you a benchmark and its explanations on one spine. Or take both in one feed - merged onto a single economy-year table and delivered daily, weekly, or hourly, your call.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Do the two datasets cover the same ground?
Outside that one series, the catalogue covers thousands of indicators the benchmark page never touches.
Which dataset reaches further back in time?
It depends which door you use. The indicator's published year selector runs 2007 through 2024, though earlier vintages of the same series are retained upstream. Catalogue series routinely stretch decades before that. If long-run export history matters, say so when you sample and take the deeper window.
Can Datadory deliver both datasets together?
Yes - merged onto one economy-year spine or shipped side by side, delivered daily, weekly, or hourly, your call. Each arrives normalized to its documented dictionary - thirteen fields on the benchmark side, twenty-one on the catalogue side - with sample rows for inspection before anything ships.