KiribatiBuild the Measurement Base
D5 (0.194) is the weakest dimension and the largest single lever is data, not law or politics.
Kiribati scores a GEVI of 48.6 (90% interval 41.4 to 55.0), in the Hidden band. Its main constraint is data visibility: only 2 of the 12 core economic rows have a sex-disaggregated value in the World Bank landscape, so 5 of 13 inputs are imputed (blind-spot ratio 0.38).
Source: the attached country paper. Animation reveals reported measures; it does not show change over time.
Abstract
Kiribati scores a GEVI of 48.6 (90% interval 41.4 to 55.0), in the Hidden band. Its main constraint is data visibility: only 2 of the 12 core economic rows have a sex-disaggregated value in the World Bank landscape, so 5 of 13 inputs are imputed (blind-spot ratio 0.38).
D5 (0.194) is the weakest dimension and the largest single lever is data, not law or politics. Raising I13 from 2 of 12 rows to 9 of 12, the coverage Fiji, Samoa and Tonga have, would lift the index by 9.8 points to 58.4. By comparison, lifting women's share of parliament from 11.1% to 15% adds 1.8 points and raising the supportive-frameworks score from 27% to 50% adds 2.6.
Priorities include Publish the 2024 census and the planned household survey by sex; Register employers and wage earners by sex so a formal-sector count exists from administrative records; Reserve judgement on the ranking.
Download the paper PDFHeadline result
Kiribati scores a GEVI of 48.6 (90% interval 41.4 to 55.0), in the Hidden band. Its main constraint is data visibility: only 2 of the 12 core economic rows have a sex-disaggregated value in the World Bank landscape, so 5 of 13 inputs are imputed (blind-spot ratio 0.38).
90% interval 41.4–55.0.
Rank 10 of 15 · Blind-spot ratio 0.38.
versus D2 at 0.819
How the index is built
Dimensions are simple means of their indicators. The index uses a weighted geometric mean. Imputed inputs use the series medians; these are placeholders, not observed country outcomes.
| Dimension | Score D | Weight w | D^w |
|---|---|---|---|
| D1 Labour participation | 0.778 | 0.25 | 0.9393 |
| D2 Job quality and seniority | 0.819 | 0.20 | 0.9607 |
| D3 Enterprise and legal rights | 0.608 | 0.20 | 0.9054 |
| D4 Institutional visibility | 0.278 | 0.15 | 0.8253 |
| D5 Statistical and political voice | 0.194 | 0.20 | 0.7206 |
= 48.6
Product of the five terms = 0.4859, so GEVI = 100 × 0.4859 = 48.6, rank 10 of 15. Values are rounded as reported in the source.
Uncertainty and rank sensitivity
The 10,000-draw simulation samples each score with the standard deviation of its grade (8 grade A at 0.02, 5 grade C at 0.12) and draws dimension weights from a Dirichlet distribution centred on the base weights. Median 48.0, 5th to 95th percentile 41.4 to 55.0; blind-spot ratio 5/13 = 0.38. Under 5,000 random weight sets alone, the rank has a median of 10 with a range of 7 to 12.
Source and indicator caveats
Imputed scores are the median of countries with data for that indicator.
Where the gap is
Each scenario raises one dimension to full parity, holding the others fixed.
| Dimension raised to 1.0 | GEVI | Gain |
|---|---|---|
| D1 | 51.7 | +3.1 |
| D2 | 50.6 | +2.0 |
| D3 | 53.7 | +5.1 |
| D4 | 58.9 | +10.3 |
| D5 | 67.4 | +18.8 |
Single-indicator scenarios
Single-indicator scenarios, each lifting one measured or coverage indicator to the upper quartile of countries with data (imputed indicators excluded):
| Indicator lifted | From | To | GEVI | Gain |
|---|---|---|---|---|
| I13 Data availability | 0.167 | 0.750 | 58.4 | +9.8 |
| I12 Women MPs | 0.222 | 0.382 | 52.0 | +3.5 |
| I11 Women ministers | 0.286 | 0.373 | 49.7 | +1.1 |
| I10 WBL supportive frameworks | 0.270 | 0.315 | 49.2 | +0.6 |
Scenario values and gains are reproduced as printed; rounding can affect the subtraction of displayed values. These are conditional model scenarios, not forecasts or causal estimates.
Reading the result
D5 (0.194) is the weakest dimension and the largest single lever is data, not law or politics. Raising I13 from 2 of 12 rows to 9 of 12, the coverage Fiji, Samoa and Tonga have, would lift the index by 9.8 points to 58.4. By comparison, lifting women's share of parliament from 11.1% to 15% adds 1.8 points and raising the supportive-frameworks score from 27% to 50% adds 2.6.
One caution applies to the labour dimension: the imputed I1, I3, I4 and I6 values may hide a real gap, so D1 and D2 should be read as placeholders until a labour force survey is published by sex.
Priorities and practical use
The priorities connect the index to actions and named users.
Publish the 2024 census and the planned household survey by sex. These would fill I1, I3, I4 and I6 with measured values.
Register employers and wage earners by sex so a formal-sector count exists from administrative records.
Reserve judgement on the ranking. With a blind-spot ratio of 0.38, the position (10th of 15) has a wide plausible range.
Who uses the data, and for what decision?
| Data product | Primary user | Decision it informs | Cadence |
|---|---|---|---|
| I1, I3, I4 and I6 from the census and household survey by sex | Statistics office, labour ministry | Replace four imputed labour inputs; until then D1 and D2 are placeholders | Census and survey releases |
| I13 coverage (2 of 12 rows) | Statistics office, development partners | A costed plan for the 7 extra rows that would lift the index by 9.8 points | Survey plan |
| I10 supportive frameworks (27%) | Women's ministry, finance ministry | Which mechanisms to fund; a lift to 50% is worth 2.6 points | Budget cycle |
| I12 women in parliament (11.1%) | Parliament, electoral office | Baseline for any special-measures discussion | After each election |
Kiribati's highest-value data use is to build the measurement base: with 5 imputed inputs, every policy comparison with other countries is weakened until the labour rows are measured.
Series: GEVI Research Series · Paper 8 · DOI: 10.5281/zenodo.23207312