Federated States of MicronesiaRefresh the Evidence
The FSM have the highest institutional visibility score in the series (D4 = 0.495) because women hold 37.5% of ministerial posts and 21.4% of congress seats, the highest parliamentary share after Timor-Leste and Palau.
The Federated States of Micronesia score a GEVI of 56.6 (90% interval 51.5 to 60.3), third of 15 and in the Partial band. The rank rests on two strong inputs, a 37.5% share of women among ministers and a firm-ownership figure of 86.8%, and the second of these dates from 2009. Four of 13 inputs are imputed (blind-spot ratio 0.31), and three measured inputs are graded B for age.
Source: the attached country paper. Animation reveals reported measures; it does not show change over time.
Abstract
The Federated States of Micronesia score a GEVI of 56.6 (90% interval 51.5 to 60.3), third of 15 and in the Partial band. The rank rests on two strong inputs, a 37.5% share of women among ministers and a firm-ownership figure of 86.8%, and the second of these dates from 2009. Four of 13 inputs are imputed (blind-spot ratio 0.31), and three measured inputs are graded B for age.
The FSM have the highest institutional visibility score in the series (D4 = 0.495) because women hold 37.5% of ministerial posts and 21.4% of congress seats, the highest parliamentary share after Timor-Leste and Palau. The weak points are data and management: only 3 of 12 rows are measured and women hold 18.2% of senior and middle management (2014).
Priorities include Refresh the 2009 and 2014 inputs; Publish labour indicators by sex to replace four imputed inputs; Protect what is working.
Download the paper PDFHeadline result
The Federated States of Micronesia score a GEVI of 56.6 (90% interval 51.5 to 60.3), third of 15 and in the Partial band. The rank rests on two strong inputs, a 37.5% share of women among ministers and a firm-ownership figure of 86.8%, and the second of these dates from 2009. Four of 13 inputs are imputed (blind-spot ratio 0.31), and three measured inputs are graded B for age.
90% interval 51.5–60.3.
Rank 3 of 15 · Blind-spot ratio 0.31.
versus D1 at 0.749
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 | 0.749 | 0.25 | 0.9302 |
| D2 Job quality and seniority | 0.691 | 0.20 | 0.9286 |
| D3 Enterprise and legal rights | 0.606 | 0.20 | 0.9046 |
| D4 Institutional visibility | 0.495 | 0.15 | 0.8999 |
| D5 Statistical and political voice | 0.339 | 0.20 | 0.8055 |
= 56.6
Product of the five terms = 0.5664, so GEVI = 100 × 0.5664 = 56.6, rank 3 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 (6 grade A at 0.02, 3 grade B at 0.06, 4 grade C at 0.12) and draws dimension weights from a Dirichlet distribution centred on the base weights. Median 55.8, 5th to 95th percentile 51.5 to 60.3; blind-spot ratio 4/13 = 0.31. Under 5,000 random weight sets alone, the rank has a median of 3 with a range of 2 to 4.
Source and indicator caveats
I7 is capped at 1 because 86.8% exceeds the 50% benchmark.
Where the gap is
Each scenario raises one dimension to full parity, holding the others fixed.
| Dimension raised to 1.0 | GEVI | Gain |
|---|---|---|
| D1 | 60.9 | +4.2 |
| D2 | 61.0 | +4.4 |
| D3 | 62.6 | +6.0 |
| D4 | 62.9 | +6.3 |
| D5 | 70.3 | +13.7 |
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 | 0.250 | 0.750 | 63.3 | +6.6 |
| I5 Senior and middle management | 0.364 | 0.746 | 58.6 | +1.9 |
| I2 Youth NEET | 0.708 | 0.907 | 57.8 | +1.2 |
| I10 WBL supportive frameworks | 0.240 | 0.315 | 57.3 | +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
The FSM have the highest institutional visibility score in the series (D4 = 0.495) because women hold 37.5% of ministerial posts and 21.4% of congress seats, the highest parliamentary share after Timor-Leste and Palau. The weak points are data and management: only 3 of 12 rows are measured and women hold 18.2% of senior and middle management (2014).
The rank is fragile. Raising data coverage to 9 of 12 rows would add 6.6 points to 63.3, while a refreshed 2009 firm-ownership figure could move D3 in either direction. Under random weights the FSM rank between 2nd and 4th, and the capped 2009 ownership figure supplies 0.333 of D3's 0.606.
Priorities and practical use
The priorities connect the index to actions and named users.
Refresh the 2009 and 2014 inputs. Firm ownership, management share and NEET should be re-measured before the ranking is quoted.
Publish labour indicators by sex to replace four imputed inputs.
Protect what is working. The ministerial share is the strongest single input in the series; tracking it annually keeps D4 evidence-based.
Who uses the data, and for what decision?
| Data product | Primary user | Decision it informs | Cadence |
|---|---|---|---|
| I13 coverage (3 of 12 rows) and the 2009 to 2014 inputs | Statistics office, development partners | A refresh plan for firm ownership, NEET and management share so the rank of 3rd is evidence-based | Survey plan |
| I1, I3, I4 and I6 by sex | Statistics office, labour authorities, revenue authority | Replace four imputed labour inputs | Next census or survey release |
| I11 women in ministerial posts (37.5%) | Cabinet office, other Pacific governments | A documented case of what a high ministerial share does to D4; the series' strongest single input | Annual |
| I5 women in management (18.2%, 2014) | Public service commission, private-sector employers | Whether the low figure persists; a lift to the upper quartile is worth 2.0 points | Next survey round |
FSM's rank is provisional on data that is 12 to 17 years old for three inputs, so its main data use is to fund the refresh before the score is quoted externally.
Series: GEVI Research Series · Paper 10 · DOI: 10.5281/zenodo.23208925