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MOSAIC

Country intelligence page

Republic of Armenia ARM

Operation Arrivals in Armenia at Admin 1. Every comparison below is confined to this operation, because operations differ in geographic scope, cadence and method and are not additive.

Present IDPs, latest round
89,149
Round 2, 15 Dec 2020
Baseline round
81,408
Round 1, 30 Nov 2020
Absolute changeMOSAIC-derived
+7,741
Difference in present IDPs between the two rounds
Displacement momentumMOSAIC-derived
+9.5%
Increasing displacement
Assessment recency
2089d
Latest report older than 365 days
Data confidenceMOSAIC-derived
45
moderate confidence in comparability, out of 100

What changed?MOSAIC-derived

Comparing round 2 (15 Dec 2020) with round 1 (30 Nov 2020) inside the Arrivals in Armenia operation. Thresholds are MOSAIC monitoring settings, not IOM categories.

Areas at or above +5 per cent momentum

Areas in Republic of Armenia ranked by threshold crossings between the two most recent comparable DTM rounds
AreaLatestBaselineChangeMomentumComparabilityAnalysis
Tavush1,8231,440+383+26.6%
  • Built from a single source record
Shirak1,7311,416+315+22.2%
  • Built from a single source record
Ararat7,6536,401+1,252+19.6%
  • Built from a single source record
Gegharkunik3,7493,239+510+15.7%
  • Built from a single source record
Yerevan34,74831,550+3,198+10.1%
  • Built from a single source record
Vayots Dzor2,6202,386+234+9.8%
  • Built from a single source record
Syunik8,0247,334+690+9.4%
  • Built from a single source record
Aragatsotn3,0562,794+262+9.4%
  • Built from a single source record
Armavir6,5636,117+446+7.3%
  • Built from a single source record
Methodology and provenance
Source
International Organization for Migration (IOM), Displacement Tracking Matrix (DTM). Public API v3.
Endpoint
/v3/displacement/admin1
Geographic level
Admin 1
Operation
Arrivals in Armenia
Reporting period
30 Nov 2020 to 15 Dec 2020
Assessment round
Round 2 compared with round 1
Retrieved
2026-09-04T01:33:42.338Z
Calculation
Rows are summed to a present-IDP figure per area and round, then the latest round is compared with the preceding round of the same operation. Areas present in only one of the two rounds are reported as such and are never treated as zero.

Known limitations

  • An area that disappears between rounds may have ceased to be assessed rather than ceased to host displacement.
  • A newly reported area may be newly affected or newly assessed. The API does not distinguish between these.
  • Threshold bands are MOSAIC monitoring settings and are not calibrated to this country's assessment cadence.
Displacement Momentum is the proportional change in present IDP individuals between an administrative unit's latest comparable DTM assessment round and the preceding round within the same DTM operation. Bands are MOSAIC-defined monitoring thresholds, not IOM classifications. A momentum value is not computed where a baseline is missing or zero.

MOSAIC-derived indicator. Not an IOM classification.

National displacement timeline

Present IDPs by assessment round within the Arrivals in Armenia operation. Breaks in the line mark non-consecutive round numbers, where an intervening round exists that this series does not include.

Methodology and provenance
Source
International Organization for Migration (IOM), Displacement Tracking Matrix (DTM). Public API v3.
Endpoint
/v3/displacement/admin1
Geographic level
Admin 1
Operation
Arrivals in Armenia
Reporting period
2020-11-30 to 2020-12-15
Assessment round
Round 2
Retrieved
2026-09-04 01:33 UTC
Calculation
Present IDP figures are summed across all disaggregated source rows for each area, then across areas, for every round of the selected operation.

Known limitations

  • Figures may be estimates derived from key informants and secondary sources rather than exact enumeration.
  • Assessment coverage and cadence vary by country and operation, so cross-country comparison of change rates is not supported.
  • A change in a recorded figure may reflect population movement, altered assessment coverage, changed access, or enumeration method, and the API does not distinguish between these.
  • The public API exposes aggregated non-sensitive figures only, and does not carry the full detail of the underlying DTM datasets.

Admin 1 ranking, latest round

Areas ranked by present IDPs reported in the latest round. Bar length is proportional to the largest area.

  1. Yerevan34,748
    +10.1%
  2. Kotayk15,867
    +2.1%
  3. Syunik8,024
    +9.4%
  4. Ararat7,653
    +19.6%
  5. Armavir6,563
    +7.3%
  6. Gegharkunik3,749
    +15.7%
  7. Lori3,315
    +3.7%
  8. Aragatsotn3,056
    +9.4%
  9. Vayots Dzor2,620
    +9.8%
  10. Tavush1,823
    +26.6%
  11. Shirak1,731
    +22.2%
Methodology and provenance
Source
International Organization for Migration (IOM), Displacement Tracking Matrix (DTM). Public API v3.
Endpoint
/v3/displacement/admin1
Geographic level
Admin 1
Operation
Arrivals in Armenia
Reporting period
15 Dec 2020
Assessment round
Round 2
Retrieved
2026-09-04 01:33 UTC
Calculation
Areas assessed in the latest round of this operation, ranked by summed present IDP individuals. Momentum shown alongside is the change from the preceding round.

Known limitations

  • Only areas assessed in the latest round appear. An unassessed area is absent, not zero.
  • Bar length encodes the reported figure only. It carries no information about area size, population or need.

MOSAIC-derived indicator. Not an IOM classification.

Anomaly signalsMOSAIC-derived

Areas whose latest figure moved unusually relative to their own recent history in this operation. Each signal names the rule that fired and the evidence behind it. A signal is a cue for collection, not a finding.

No anomaly rule fired for the latest round of this operation.

Methodology and provenance
Source
International Organization for Migration (IOM), Displacement Tracking Matrix (DTM). Public API v3.
Endpoint
/v3/displacement/admin1
Geographic level
Admin 1
Operation
Arrivals in Armenia
Reporting period
2020-11-30 to 2020-12-15
Assessment round
Round 2
Retrieved
2026-09-04 01:33 UTC
Calculation
Transparent statistical rules applied to each area's own trailing series within the operation. No model is fitted and no learned parameters are used.

Known limitations

  • An anomaly can be produced by a change in assessment coverage or method rather than by population movement.
  • Areas with short histories are flagged as low quality because normal variation cannot be characterised.
  • The public API supplies no adjacency graph, so no claim of spatial contiguity is made.

MOSAIC-derived indicator. Not an IOM classification.

Geographic concentrationMOSAIC-derived

Displacement is comparatively dispersed across 11 assessed units, with 65.8 per cent in the largest 3.

Largest areas by share of national present IDPs
AreaPresent IDPsShare
Yerevan34,74839.0%
Kotayk15,86717.8%
Syunik8,0249.0%

Normalised concentration index: 0.132 on a zero-to-one scale across 11 assessed areas.

Methodology and provenance
Source
International Organization for Migration (IOM), Displacement Tracking Matrix (DTM). Public API v3.
Endpoint
/v3/displacement/admin1
Geographic level
Admin 1
Operation
Arrivals in Armenia
Reporting period
15 Dec 2020
Assessment round
Round 2
Retrieved
2026-09-04 01:33 UTC
Calculation
Concentration is computed over the administrative units reported in the selected round of the selected DTM operation. It uses the Herfindahl-Hirschman Index of unit shares, normalised so that zero is an even distribution across assessed units and one is total concentration in a single unit. Units not assessed in the round are absent from the calculation, so a narrowing of assessment coverage will raise measured concentration without any population movement.

Known limitations

  • Concentration rises mechanically when assessment coverage narrows, with no population movement required.

MOSAIC-derived indicator. Not an IOM classification.

Coverage and confidenceMOSAIC-derived

What the observation process supports, stated separately from what the figures say.

Assessed areas, latest
11
Assessed areas, baseline
11
Rounds in operation
2
Median round interval
15 days
  • The most recent assessment in this operation is more than a year old. Treat every derived indicator as historical rather than current.

Confidence derivation

The change is usable but qualified. At least one comparability or recency condition is not met.

  • 25: Latest assessment is more than a year old
  • 20: Fewer than three observations of this unit in the operation
  • 10: Operation has fewer than three rounds of history
Methodology and provenance
Source
International Organization for Migration (IOM), Displacement Tracking Matrix (DTM). Public API v3.
Endpoint
/v3/displacement/admin1
Geographic level
Admin 1
Operation
Arrivals in Armenia
Reporting period
2020-11-30 to 2020-12-15
Assessment round
Round 2
Retrieved
2026-09-04 01:33 UTC
Calculation
MOSAIC confidence describes how well a change is grounded in comparable DTM observations. It begins at 100 and applies fixed deductions for missing baselines, non-consecutive rounds, coverage changes, short unit histories and assessment age. It is a statement about data comparability and recency only. It carries no claim about the cause of a change.

Known limitations

  • Confidence describes data comparability and recency only. It carries no claim about the cause of a change.

MOSAIC-derived indicator. Not an IOM classification.

Recorded displacement reason, latest round

Taken directly from the DTM records. This is a source field, not a MOSAIC classification.

Present IDPs by recorded displacement reason
ReasonPresent IDPsShare
Conflict89,149100.0%
Methodology and provenance
Source
International Organization for Migration (IOM), Displacement Tracking Matrix (DTM). Public API v3.
Endpoint
/v3/displacement/admin1
Geographic level
Admin 1
Operation
Arrivals in Armenia
Reporting period
15 Dec 2020
Assessment round
Round 2
Retrieved
2026-09-04 01:33 UTC
Calculation
The displacementReason field on each source row, summed over the latest round of the selected operation.

Known limitations

  • Reason is recorded at assessment. It reflects the reason as reported, and may not capture compound or sequential causes.

Generate analyst brief

A deterministic, template-generated brief covering situation snapshot, key changes, trend, concentration, anomalies, analytic questions, information gaps, collection priorities and methodological caveats. No generative model is in the path, so the same data always produces the same brief.