World Health Organization · Health
Biomedical engineers density
Biomedical engineers density (per 10 000 population). WHO Global Health Observatory indicator HRH_40.
- Coverage
- 82 of 251 countries
- Latest data
- 2017
- Series
- 82
- Unit
- per 10 000 population
- Licence
- CC BY-NC-SA 3.0 IGO
- Retrieved
- 2026-11-07
- Indicator
- who-hrh-40
- Interva ID
- who-hrh-40
Recency
stale
data to 2017; catalog to 2025
Provenance
1 step
as the publisher declares it
Versions
1
catalog snapshots
Citation
BibTeX + CSL
versioned permalink
Quality profile
This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.
Recency
0%Latest observation is 2017; the catalog broadly reports to 2025, so this data is 8 year(s) behind (stale).
Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.
Temporal completeness
75%68 of 82 series skip at least one year inside their own span; the median series reports 75% of its years.
Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.
Geographic coverage
MeasuredCovers 82 of the 251 countries in the catalog.
Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.
History depth
MeasuredThe median series has 3 observations; the earliest begins in 2014.
Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.
Revisions
MeasuredNo observation has been restated in any vintage Interva has recorded.
Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.
Schema conformity
Not assessedNo declared schema or validation rules are attached to this dataset yet.
Validity
Not assessedNo field-level validation rules are attached to this dataset yet.
Consistency
Not assessedCross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.
2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-08.
By country
Biomedical engineers density for each of the 82 countries it covers, with the full history.
- Albania 2014–2017
- Argentina 2014–2017
- Australia 2015–2017
- Austria 2014–2017
- Belgium 2014–2017
- Bhutan 2015–2017
- Bosnia and Herzegovina 2017–2017
- Botswana 2015–2017
- Bulgaria 2017–2017
- Canada 2014–2017
- Chile 2014–2017
- China 2017–2017
- Colombia 2015–2017
- Costa Rica 2017–2017
- Croatia 2014–2017
- Cuba 2015–2017
- Cyprus 2014–2017
- Denmark 2014–2017
- Dominican Republic 2015–2017
- Ecuador 2017–2017
- Egypt 2014–2017
- El Salvador 2014–2017
- Estonia 2014–2017
- Ethiopia 2017–2017
- Finland 2014–2017
- France 2014–2017
- Gambia 2014–2015
- Georgia 2014–2017
- Germany 2015–2017
- Ghana 2017–2017
- Greece 2014–2017
- Grenada 2015–2017
- Guinea 2014–2017
- Haiti 2014–2017
- Hungary 2014–2017
- Iceland 2014–2017
- India 2014–2017
- Ireland 2014–2017
- Israel 2014–2017
- Italy 2014–2017
- Japan 2014–2017
- Jordan 2014–2017
- Kiribati 2014–2017
- Latvia 2014–2017
- Lebanon 2014–2017
- Liberia 2014–2017
- Libya 2017–2017
- Lithuania 2014–2017
- Malaysia 2014–2017
- Mexico 2014–2017
- Micronesia, Federated States of 2014–2017
- Moldova, Republic of 2017–2017
- Mongolia 2014–2017
- Montenegro 2014–2017
- Mozambique 2014–2014
- Netherlands 2014–2017
- New Zealand 2015–2017
- Pakistan 2017–2017
- Panama 2015–2017
- Paraguay 2014–2017
- Peru 2015–2017
- Portugal 2014–2017
- Romania 2014–2017
- Saudi Arabia 2014–2017
- Serbia 2014–2017
- Seychelles 2017–2017
- Singapore 2014–2017
- Slovakia 2014–2017
- Slovenia 2014–2017
- South Africa 2015–2017
- Spain 2014–2017
- Sudan 2014–2017
- Suriname 2014–2017
- Sweden 2014–2017
- Switzerland 2014–2017
- Trinidad and Tobago 2014–2017
- Türkiye 2015–2017
- Ukraine 2014–2017
- United Kingdom 2014–2017
- United States 2014–2017
- Viet Nam 2014–2017
- Yemen 2017–2017
Latest observations
| Country | Period | Value | Unit |
|---|---|---|---|
| Albania | 2017 | 0.19 | per 10 000 population |
| Argentina | 2017 | 0.34 | per 10 000 population |
| Australia | 2017 | 0.13 | per 10 000 population |
| Austria | 2017 | 0.91 | per 10 000 population |
| Belgium | 2017 | 0.44 | per 10 000 population |
| Bhutan | 2017 | 0.08 | per 10 000 population |
| Bosnia and Herzegovina | 2017 | 0.14 | per 10 000 population |
| Botswana | 2017 | 0.23 | per 10 000 population |
| Bulgaria | 2017 | 0.05 | per 10 000 population |
| Canada | 2017 | 0.18 | per 10 000 population |
Provenance
Who produced these figures, as World Health Organization declares it — not inferred, and each line says which published field it was read from.
Produced by
World Health Organization
Global Health Observatory — HRH_40
declared by who in IndicatorCode
Versions
A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.
- CurrentCurrent catalog snapshotchecksum not recorded
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Citation
Version: catalog snapshot 2026-11-07. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.
World Health Organization (2026). Biomedical engineers density. Interva. https://interva.co/dataset/who-hrh-40 (accessed 2026-11-08). catalog snapshot 2026-11-07.
@misc{interva-who-hrh-40,
title = {Biomedical engineers density},
author = {World Health Organization},
year = {2026},
howpublished = {\url{https://interva.co/dataset/who-hrh-40}},
note = {Interva dataset who-hrh-40; catalog snapshot 2026-11-07},
urldate = {2026-11-08}
}DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.
API access
Every fact on this page is available from the API.
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-hrh-40curl -o who-hrh-40.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-hrh-40/downloadcurl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-hrh-40/citation?accessed=YYYY-MM-DD"curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-hrh-40/qualityFull schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs
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