Seven reviews, better data, and what the averages still hide

11th meeting · 14 July 2026 · UN Headquarters, New York
Session
11th meeting of the HLPF 2026, continuing sub-item C of the agenda, Voluntary National Reviews. Three back-to-back VNR panels, presided by a Vice-President of ECOSOC.
Presenting
Tonga (2nd review) · Saint Kitts and Nevis (2nd, plus a first Nevis local review) · Cameroon (3rd) · United Republic of Tanzania (3rd) · United Arab Emirates (3rd) · Norway (3rd) · Somalia (2nd)
Speaking for each
Lord Fakafanua, Prime Minister of Tonga · Konris Maynard, Minister of Public Infrastructure, Energy and Utilities, St Kitts and Nevis · Michel Tommo Monthe, Permanent Representative of Cameroon (for the Minister of Economy, Planning and Regional Development, Alamine Ousmane Mey) · Prof. Kitila Mkumbo, Minister of State in the President’s Office (Planning and Investment), Tanzania · Hanan Ahli, Managing Director of the Federal Competitiveness and Statistics Centre, UAE · Åsmund Aukrust, Minister of International Development, Norway, with State Secretary Anette Davidsen · Mohamud A. Sheikh Farah, Minister of Planning, Investment and Economic Development, Somalia
Goals under review
SDG 6, 7, 9, 11 and 17, the HLPF 2026 thematic set (water, energy, infrastructure, cities, partnerships)

Why this session matters to us

The Voluntary National Review is the one place in the UN calendar where a government stands up and reports its own SDG numbers. This meeting was seven of them in a row, three panels across an afternoon, spanning a Pacific microstate, two Caribbean and one Gulf federation, and three African states of very different size. On paper they have almost nothing in common. In the transcript they share one thing, and it is the thing closest to why we do this work: nearly every delegation led not with a road or a dam but with a claim about its own data, how many more SDG indicators it can now report than at its last review.

That makes the session a quiet milestone worth naming. The VNR has become, in part, an audit of a country’s statistical system. It also drew a second, sharper voice: the civil society speakers who answered each panel kept making the same objection, that a national average can rise while the people the goals are meant to reach fall further behind.

The proudest number was the count itself

Read the seven presentations for a single variable, statistical capacity, and a pattern jumps out. The headline achievement each country reached for was how much more of the SDG framework it can now measure.

This is real progress. These are the very numbers the 2030 Agenda is scored against, and a country that cannot measure a target cannot honestly claim it. The candour was part of the point. Cameroon’s Permanent Representative, standing in for his minister, refused to gloss the gaps.

Michel Tommo Monthe, Cameroon: “Cameroon is not really in heaven on this, but we’re not in hell either. We are on Earth with highs and lows.”

Tanzania’s minister reached for the same register: “We are not yet there, but we have traveled a long way.” And the UAE closed by turning the measurement question forward, launching a dialogue on what a post-2030 agenda should track: “the future belongs to those willing to ask better questions.”

The counter-melody: what the averages hide

Under this year’s rules a limited number of stakeholder questions were taken from the floor, and they landed hardest on exactly the weakness a national aggregate creates. Speaking for Tongan civil society, the Asia-Pacific stakeholder mechanism put the critique in one sentence.

Asia-Pacific CSO Engagement Mechanism, for Tongan civil society: “Aggregated national planning matrix frequently obscure acute subnational inequalities.”

It then did the arithmetic Tonga’s own headline could not. Against the celebrated national figure of 32% renewable energy, it set multidimensional child deprivation it put at “a staggering 48.9% in the outer island” and warned that nominal 4G coverage masks a deteriorating inter-island transport network whose supply shocks drive food prices. The same complaint recurred, panel after panel, as a demand for disaggregation: Cameroonian civil society called on its government to “systematically disaggregate data by sex, age, disability, indigenous peoples, and regions”; Tanzanian civil society asked for “investment in robust national statistical systems capable of generating timely disaggregated data at all levels.”

Norway’s own civil society, drawing on more than 60 organisations, made the version of the point that stings a wealthy country: its shortfalls, they said, “are not primarily a question of capacity or resources; they are questions of political priorities.” Norway is a useful control case here. It can measure almost everything, assessed every target, and still reported six targets, on resource use, waste, climate, biodiversity and the growth-versus-environment link, needing significant improvement. Better data did not, by itself, close them.

What the reviews actually showed, and one flashpoint

Behind the data story the substance was familiar to anyone tracking small and climate-exposed states. Saint Kitts and Nevis gave the session its rhetorical anchor, a refrain of “we’re doing something” hung on a genuinely steep energy plan: from under 2% renewable electricity today to near 50% within about two years as a 50 MW solar and battery project comes on stream, with geothermal on Nevis to follow. Tonga reported renewables rising from 18% to 32% of its mix since 2019 and 1,200 homes rebuilt after the 2022 Hunga Tonga eruption and tsunami, a disaster it costed at 18.5% of GDP. Somalia set its review against recovery: debt relief cancelling 99% of its debt, a first one-person-one-vote local election in Mogadishu since 1969, and, against all of it, a 2026 drought leaving 40% of the population in high acute food insecurity. Tanzania and the UAE presented the two most system-level models, national development visions (to 2050 and to 2031) into which the SDGs are folded rather than tracked alongside.

One diplomatic flashpoint punctured the courtesies. After Saint Kitts and Nevis credited “the Republic of China and Taiwan” for financing its desalination plant, China took the floor to object, invoking General Assembly Resolution 2758 and the one-China principle and demanding the reference be corrected. It is a recurring HLPF collision rather than a new one, but it is the sharpest exchange in the meeting and worth recording plainly.

Our read

The most consistent message of the afternoon did not come from the podium. Governments came to report that they can now count more of the SDGs than ever, and that is true and it matters. But the people answering them, their own civil society, kept pointing at the gap between a national number and a lived one: the outer island at 48.9% child deprivation behind the 32% renewables headline, the informal settlement behind the housing average, the displaced person behind the poverty rate. Coverage is the easier half of measurement to improve, and every country improved it. Disaggregation, the ability to see who is being left behind rather than how many, is the unfinished half, and it is the half the goals actually turn on. The test for next year’s reviews is simple: do they report the subnational breakdown, or just the higher national coverage rate?

Why it matters for the SDGs

This meeting was the working core of SDG 17, and specifically target 17.18, the commitment to high-quality, timely and disaggregated data. Every presentation was, at bottom, a report on that target. It sat directly under the five goals in review this cycle, SDG 6 (water), SDG 7 (energy), SDG 9 (infrastructure) and SDG 11 (cities). And it bears on the promise that underwrites all of them, to leave no one behind, which is not a slogan a country can verify without disaggregated data. On the evidence here, the counting is improving faster than the disaggregation, which means the averages are getting more precise about a picture that still cannot see its own margins.

Watch & read

Quotations are lightly edited from an automated (Otter.ai) transcript of the UN Web TV recording and should be read as close paraphrase. Speakers are named by their verified roles; non-English interventions are summarised, not quoted. Figures are as each country reported them about itself and were not independently verified.