Children's Climate Risk Index by country (UNICEF CCRI)

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UNICEF Children's Climate Risk Index (keyless UNICEF Data Warehouse SDMX, CCRI dataflow): the headline 0-10 climate-risk-for-children score, official five-step risk category and cross-country rank for 163 countries (2020 vintage), the two pillar scores — Pillar 1 exposure to climate/environmental shocks, Pillar 2 child vulnerability — plus a derived ML layer: the exposure-vs-vulnerability risk driver, the country's top climate shock, the count of Extremely-High shock components and the high-risk flag. The child-climate-vulnerability layer for development, humanitarian and country-risk models; joins on country_code with the catalog's other global panels.

Source: UNICEF Children's Climate Risk Index intelligence
Rows: 163
Columns: 17
Source cadence: Yearly
Last refreshed: Oct 5, 2026
Theme: environment

Column	Type	Description
year	integer	CCRI vintage year (single-year index, 2020).
country	string	Country name via the hub normalization layer.
country_code	string	ISO 3166-1 alpha-3 country code.
ccri_score	float	UNICEF Children's Climate Risk Index headline score, 0-10 (higher = greater climate risk for children). Numeric value published in the SDMX OBS_FOOTNOTE as 'Value: X.X'. (unit: index (0-10))
ccri_category	string	Official CCRI five-step risk category: Extremely High, High, Medium-High, Low-Medium or Low.
ccri_rank	integer	Cross-country rank on ccri_score (1 = highest climate risk for children). (unit: rank)
high_risk_flag	integer	1 when ccri_category is Extremely High or High (UNICEF's headline at-risk framing), else 0. (unit: flag)
pillar1_exposure_score	float	CCRI Pillar 1: exposure to climate and environmental shocks and stresses, 0-10. (unit: index (0-10))
pillar1_exposure_category	string	Official five-step category for the Pillar 1 score.
pillar2_vulnerability_score	float	CCRI Pillar 2: child vulnerability (health, nutrition, education, WASH, social protection), 0-10. (unit: index (0-10))
pillar2_vulnerability_category	string	Official five-step category for the Pillar 2 score.
risk_driver	string	Which pillar dominates the country's risk: 'exposure-led' (Pillar 1 > Pillar 2), 'vulnerability-led' (Pillar 2 > Pillar 1) or 'balanced'.
top_shock	string	Pillar-1 shock component with the highest 0-10 score for the country (ties broken alphabetically).
top_shock_score	float	0-10 score of the country's top_shock component. (unit: index (0-10))
top_shock_category	string	Official five-step category of the top_shock component.
n_extreme_shocks	integer	Count of Pillar-1 shock components rated Extremely High for the country (components missing upstream are not counted). (unit: count)
row_hash	string	Deterministic 12-hex row identity hash over source, country, year and rounded raw values.

First 10 sample rows — a preview, not the complete dataset.

year	country	country_code	ccri_score	ccri_category	ccri_rank	high_risk_flag	pillar1_exposure_score	pillar1_exposure_category	pillar2_vulnerability_score	pillar2_vulnerability_category	risk_driver	top_shock	top_shock_score	top_shock_category	n_extreme_shocks	row_hash
2,020	Central African Republic	CAF	8.7	Extremely High	1	1	6.7	High	9.8	Extremely High	vulnerability-led	aedes-borne disease	9.6	Extremely High	8	fde13379823b
2,020	Nigeria	NGA	8.5	Extremely High	2	1	8.8	Extremely High	8.1	Extremely High	exposure-led	dengue	10	Extremely High	12	ae54e2a74795
2,020	Chad	TCD	8.5	Extremely High	2	1	7	High	9.4	Extremely High	vulnerability-led	air pollution	10	Extremely High	7	5c8f44cb7708
2,020	Guinea	GIN	8.4	Extremely High	4	1	7.7	Extremely High	8.9	Extremely High	vulnerability-led	coastal floods	10	Extremely High	8	f6d137570b5b
2,020	Guinea-Bissau	GNB	8.4	Extremely High	4	1	6.4	High	9.5	Extremely High	vulnerability-led	coastal floods	9.7	Extremely High	7	df9eb20352b6
2,020	Somalia	SOM	8.4	Extremely High	4	1	7	High	9.3	Extremely High	vulnerability-led	lead pollution	9.9	Extremely High	9	21d8efee3971
2,020	Niger	NER	8.2	Extremely High	7	1	7.3	Extremely High	8.9	Extremely High	vulnerability-led	air pollution	10	Extremely High	9	d4164c837640
2,020	South Sudan	SSD	8.2	Extremely High	7	1	6.8	High	9.2	Extremely High	vulnerability-led	aedes-borne disease	9.8	Extremely High	10	c4db629e3c4d
2,020	DR Congo	COD	8	Extremely High	9	1	7.2	Extremely High	8.6	Extremely High	vulnerability-led	lead pollution	10	Extremely High	10	52c31e62478a
2,020	Angola	AGO	7.9	Extremely High	10	1	6.5	High	8.9	Extremely High	vulnerability-led	aedes-borne disease	9.5	Extremely High	8	24c0d5e96f3b

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/unicef_ccri_intel/child_climate_risk_index" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/unicef_ccri_intel/child_climate_risk_index").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/unicef_ccri_intel/child_climate_risk_index

Tip: fetch /llms.txt for the full machine-readable catalog.

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Pinned to snapshot 20261005T165103Z-bc4739c8a510 and its content hash, so readers get exactly the data you used.

APA

UNICEF Children's Climate Risk Index intelligence. (2026). Children's Climate Risk Index by country (UNICEF CCRI) [Data set, snapshot 20261005T165103Z-bc4739c8a510, sha256 bc4739c8a510]. Datazimuts. Retrieved 2026-10-06, from https://datazimuts.com/en/datasets/unicef_ccri_intel/child_climate_risk_index?snapshot=20261005T165103Z-bc4739c8a510

BibTeX

@misc{dz_unicef_ccri_intel_child_climate_risk_ind_bc4739c8,
  title        = {{Children's Climate Risk Index by country (UNICEF CCRI)}},
  author       = {{UNICEF Children's Climate Risk Index intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/unicef_ccri_intel/child_climate_risk_index?snapshot=20261005T165103Z-bc4739c8a510}},
  note         = {Snapshot 20261005T165103Z-bc4739c8a510, sha256 bc4739c8a510979a49eaa79cf40665a3999eb81611ffed14e1b15d6fdaf5bc47; accessed 2026-10-06}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=unicef_ccri_intel%2Fchild_climate_risk_index&lang=en&theme=auto&snapshot=20261005T165103Z-bc4739c8a510&x=year&y=year&agg=avg" title="Children's Climate Risk Index by country (UNICEF CCRI)" width="100%" height="380" style="border:0" loading="lazy"></iframe>

Children's Climate Risk Index by country (UNICEF CCRI)

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