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WHO Global Health Observatory

Official WHO indicator search, dimension codes and paginated observations with source licensing and attribution.

12 ready-made skills use WHO Global Health Observatory
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Find the WHO GHO indicators whose names contain maternal mortality, and return their codes, official names and data URLs.

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Choose an example or ask your own question.

WHO Global Health Observatory
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1Request
stringRequired

GHO indicator code, e.g. WHOSIS_000001 (life expectancy at birth) or MDG_0000000001 (infant mortality rate).

string

next_cursor from the previous page of the same filters and page_size.

string[]

Dim1 value codes, e.g. SEX_FMLE or AGEGROUP_YEARS0-4. Separate values with commas.

string[]

dim2 Separate values with commas.

number

string[]

ISO3 country codes (BRA), WHO region codes (AFR), income-group codes (WB_HI) or GLOBAL. Separate values with commas.

5 credits
Codefollows the fields above
const result = await firecrawl.scrape({
  alexandria: {
    provider: "who-int",
    capability: "indicators/data",
    options: {
      indicator_code: "WHOSIS_000001",
      page_size: 5,
      spatial_dims: [
        "BRA",
      ],
    },
  },
});
2Response example

This is a sample shape. Press Run to see live data from WHO Global Health Observatory.

{
  "complete": true,
  "indicator": {
    "indicator_code": "WHOSIS_000001",
    "name": "Life expectancy at birth (years)",
    "unit_from_name": "years"
  },
  "license": {
    "attribution": "Source: World Health Organization, Global Health Observatory (https://www.who.int/data/gho). Licence: CC BY-NC-SA 3.0 IGO.",
    "name": "CC BY-NC-SA 3.0 IGO",
    "restrictions": [
      "non-commercial",
      "share-alike",
      "attribution"
    ],
    "terms_url": "https://www.who.int/about/policies/publishing/data-policy/terms-and-conditions",
    "url": "https://creativecommons.org/licenses/by-nc-sa/3.0/igo/"
  },
  "next_cursor": "g1:5:2f7d586ff4f0ecb4",
  "odata_filter": "SpatialDim eq 'BRA'",
  "page": {
    "max_skip": 5000000,
    "size": 5,
    "skip": 0
  },
  "records": [
    {
      "comments": null,
      "data_source": null,
      "date_modified": "2024-08-02T07:43:39Z",
      "date_modified_source": "2024-08-02T09:43:39.193+02:00",
      "dims": {
        "dim1": {
          "code": "SEX_BTSX",
          "type": "SEX"
        },
        "dim2": null,
        "dim3": null
      },
      "display_value": "72.3 [72.0-72.6]",
      "high": "72.58864374",
      "id": 15025,
      "indicator_code": "WHOSIS_000001",
      "indicator_name": "Life expectancy at birth (years)",
      "low": "72.02894266",
      "numeric_value": "72.30491342",
      "observed_at_ms": 1789442400000,
      "parent_location": "Americas",
      "parent_location_code": "AMR",
      "source_url": "https://ghoapi.azureedge.net/api/WHOSIS_000001?$filter=Id%20eq%2015025",
      "spatial_dim": "BRA",
      "spatial_dim_type": "COUNTRY",
      "time_dim": 2003,
      "time_dim_type": "YEAR",
      "time_dimension_begin": "2003-01-01T00:00:00+01:00",
      "time_dimension_end": "2003-12-31T00:00:00+01:00",
      "time_dimension_value": "2003",
      "unit_from_name": "years"
    },
    {
      "comments": null,
      "data_source": null,
      "date_modified": "2024-08-02T07:43:39Z",
      "date_modified_source": "2024-08-02T09:43:39.193+02:00",
      "dims": {
        "dim1": {
          "code": "SEX_MLE",
          "type": "SEX"
        },
        "dim2": null,
        "dim3": null
      },
      "display_value": "69.0 [68.8-69.3]",
      "high": "69.25835467",
      "id": 1666461,
      "indicator_code": "WHOSIS_000001",
      "indicator_name": "Life expectancy at birth (years)",
      "low": "68.82585739",
      "numeric_value": "69.04410946",
      "observed_at_ms": 1789442400000,
      "parent_location": "Americas",
      "parent_location_code": "AMR",
      "source_url": "https://ghoapi.azureedge.net/api/WHOSIS_000001?$filter=Id%20eq%201666461",
      "spatial_dim": "BRA",
      "spatial_dim_type": "COUNTRY",
      "time_dim": 2021,
      "time_dim_type": "YEAR",
      "time_dimension_begin": "2021-01-01T00:00:00+01:00",
      "time_dimension_end": "2021-12-31T00:00:00+01:00",
      "time_dimension_value": "2021",
      "unit_from_name": "years"
    },
    {
      "comments": null,
      "data_source": null,
      "date_modified": "2024-08-02T07:43:39Z",
      "date_modified_source": "2024-08-02T09:43:39.193+02:00",
      "dims": {
        "dim1": {
          "code": "SEX_BTSX",
          "type": "SEX"
        },
        "dim2": null,
        "dim3": null
      },
      "display_value": "73.8 [73.7-74.1]",
      "high": "74.1256178",
      "id": 1798367,
      "indicator_code": "WHOSIS_000001",
      "indicator_name": "Life expectancy at birth (years)",
      "low": "73.65496259",
      "numeric_value": "73.8424263",
      "observed_at_ms": 1789442400000,
      "parent_location": "Americas",
      "parent_location_code": "AMR",
      "source_url": "https://ghoapi.azureedge.net/api/WHOSIS_000001?$filter=Id%20eq%201798367",
      "spatial_dim": "BRA",
      "spatial_dim_type": "COUNTRY",
      "time_dim": 2009,
      "time_dim_type": "YEAR",
      "time_dimension_begin": "2009-01-01T00:00:00+01:00",
      "time_dimension_end": "2009-12-31T00:00:00+01:00",
      "time_dimension_value": "2009",
      "unit_from_name": "years"
    },
    {
      "comments": null,
      "data_source": null,
      "date_modified": "2024-08-02T07:43:39Z",
      "date_modified_source": "2024-08-02T09:43:39.193+02:00",
      "dims": {
        "dim1": {
          "code": "SEX_BTSX",
          "type": "SEX"
        },
        "dim2": null,
        "dim3": null
      },
      "display_value": "74.6 [74.5-74.9]",
      "high": "74.8752908",
      "id": 2001350,
      "indicator_code": "WHOSIS_000001",
      "indicator_name": "Life expectancy at birth (years)",
      "low": "74.47555423",
      "numeric_value": "74.63621389",
      "observed_at_ms": 1789442400000,
      "parent_location": "Americas",
      "parent_location_code": "AMR",
      "source_url": "https://ghoapi.azureedge.net/api/WHOSIS_000001?$filter=Id%20eq%202001350",
      "spatial_dim": "BRA",
      "spatial_dim_type": "COUNTRY",
      "time_dim": 2014,
      "time_dim_type": "YEAR",
      "time_dimension_begin": "2014-01-01T00:00:00+01:00",
      "time_dimension_end": "2014-12-31T00:00:00+01:00",
      "time_dimension_value": "2014",
      "unit_from_name": "years"
    },
    {
      "comments": null,
      "data_source": null,
      "date_modified": "2024-08-02T07:43:39Z",
      "date_modified_source": "2024-08-02T09:43:39.193+02:00",
      "dims": {
        "dim1": {
          "code": "SEX_BTSX",
          "type": "SEX"
        },
        "dim2": null,
        "dim3": null
      },
      "display_value": "71.5 [71.2-71.8]",
      "high": "71.80974311",
      "id": 2071309,
      "indicator_code": "WHOSIS_000001",
      "indicator_name": "Life expectancy at birth (years)",
      "low": "71.21939341",
      "numeric_value": "71.4995438",
      "observed_at_ms": 1789442400000,
      "parent_location": "Americas",
      "parent_location_code": "AMR",
      "source_url": "https://ghoapi.azureedge.net/api/WHOSIS_000001?$filter=Id%20eq%202071309",
      "spatial_dim": "BRA",
      "spatial_dim_type": "COUNTRY",
      "time_dim": 2000,
      "time_dim_type": "YEAR",
      "time_dimension_begin": "2000-01-01T00:00:00+01:00",
      "time_dimension_end": "2000-12-31T00:00:00+01:00",
      "time_dimension_value": "2000",
      "unit_from_name": "years"
    }
  ],
  "retrieved_at": "2026-09-15T03:50:00Z",
  "schema_version": "1.0.0",
  "source_updated_at": "2024-08-02T07:43:39Z",
  "source_url": "https://ghoapi.azureedge.net/api/WHOSIS_000001?$filter=SpatialDim%20eq%20'BRA'&$orderby=Id&$top=5&$skip=0&$count=true",
  "total_count": 66,
  "upstream_requests": 3,
  "warnings": []
}

Use cases

12

Built-in skills that call WHO Global Health Observatory.

Uses WHO Global Health Observatory, European Medicines Agency, FDA, ClinicalTrials.govEx-US launch market screenUse when a pharma or medtech market-access team is ranking countries for launch after US approval. Pulls WHO disease burden for the indication by country, checks which competitors already hold EU authorisation and US approval, and counts competing trials recruiting in each country, then ranks markets by burden, competition and trial crowding.5 capabilitiesUse
Uses WHO Global Health Observatory, World Bank Data, UNESCO UIS, ClinicalTrials.govImmunization dropout country priority listUse when a global health program officer at a foundation or NGO decides where to fund routine immunization work. Ranks countries by the gap between first and third DTP doses and measles coverage from WHO, adjusts for health spending and income from the World Bank and mothers' schooling from UNESCO, and checks which countries already have large funded trials or programmes.7 capabilitiesUse
Uses WHO Global Health Observatory, USDA FoodData Central (fdc.nal.usda.gov), Australian Food Composition Database (AFCD, FSANZ), Canadian Nutrient File, Health Canada (food-nutrition.canada.ca), PubMed and PMC+1Iron fortification gap scanUse when a food fortification program manager or public health nutritionist decides which staple foods to target for iron fortification. Compares anaemia prevalence across countries from WHO, ranks iron content of common staples in food composition tables from the US, Australia and Canada, and gathers trial evidence, producing a sourced shortlist of vehicles and countries.9 capabilitiesUse
Uses WHO Global Health Observatory, Trends, PubMed and PMC, U.S. State Department Travel Advisories (travel.state.gov)Measles resurgence early warningUse when a public-health analyst, NGO programme lead or travel-health team needs to know where measles is likely to come back next. Finds countries whose MCV1 and MCV2 coverage has slipped, checks whether search interest and the literature already show outbreaks there, and returns a ranked watch list with the dated evidence.6 capabilitiesUse
Uses WHO Global Health Observatory, World Bank Data, IMF Data, XE currency data, ClinicalTrials.gov+1Medtech country entry health-system scanUse when a medical device or digital health company is choosing which country to launch in next and needs more than market size. Scores candidate countries on clinician density, health spending, ageing, economic outlook and existing device trial activity, then adds currency risk, and returns a ranked shortlist with each metric sourced.6 capabilitiesUse
Uses WHO Global Health Observatory, Trends, legislation.gov.uk, PubMed and PMCVaping policy impact snapshotUse when a tobacco control policy analyst at a health department or charity assesses vaping regulation for a briefing. Compares tobacco use prevalence across countries from WHO, tracks public search interest in vaping products over time, reads the current UK legislative text and amendments, and gathers recent studies on youth uptake into one sourced snapshot.9 capabilitiesUse
Uses IHME GBD Results, WHO Global Health Observatory, NIH RePORTER, ClinicalTrials.gov, PubMed and PMC+1Disease burden versus research attention gapUse when a research funder, foundation programme officer or policy analyst wants to know which diseases get far less research money and trial activity than their burden suggests. Builds a cause list from the GBD hierarchy, joins WHO mortality, NIH grants, recruiting trials and publication counts, and ranks the most neglected causes.7 capabilitiesUse
Uses USGS Earthquake Catalog (ComCat), WHO Global Health Observatory, World Bank Data, OpenStreetMap, UN Global Marketplace+1Earthquake health response first lookUse when a humanitarian health cluster coordinator or NGO medical lead needs a first look within hours of a major earthquake. Reads the USGS event and impact alert, the country's health workforce and hospital bed indicators, maps hospitals near the epicentre, and finds open UN medical supply tenders, producing a sourced situation note.7 capabilitiesUse
Uses World Bank Data, WHO Global Health Observatory, Eurostat (ec.europa.eu), IMF DataHealth financing peer comparisonUse when a health economist at a ministry of health or development bank must benchmark a country's health financing against peers before a budget round. Pulls out-of-pocket share, government health spending and coverage indicators from the World Bank and WHO, adds Eurostat detail for European peers and IMF growth forecasts, and drafts a sourced comparison.10 capabilitiesUse

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