Planning and Statistics AuthorityMunjaz11My actionsNotificationsالعربية

DMD-2026-015

National household income & expenditure survey 2027

EvaluationDevelopment proposal
Electronic formPriority evaluation
Priority score
72

Preliminary score from screening — confirmed after evaluation

Estimated cost
SYP 462.5M
Net present value
SYP 139M
Internal rate of return
⁦16.4%⁩
Payback period
⁦3.6⁩ years
Rank in the 2027 plan
#5

of ⁦9⁩ candidates

  1. Gate into «Submitted»DecisionGoDate27 May 2026DraftComplete
  2. Gate into «Initial review»DecisionGoDate5 July 2026SubmittedComplete
  3. Gate into «Feasibility»DecisionGoDate14 August 2026Initial reviewComplete
  4. Gate into «Evaluation»DecisionGoDate22 September 2026FeasibilityComplete
  5. Gate into «Committee review»DecisionNot held yetEvaluationCurrent stageCurrent stage
  6. Gate into «Approved»DecisionNot held yet6Committee reviewNot started
  7. Gate into «Prioritized»DecisionNot held yet7ApprovedNot started
  8. Gate into «Converted to project»DecisionNot held yet8PrioritizedNot started
  9. 9Converted to projectNot started

The request as filed

What the requester wrote on the intake form

Problem
The last national household income & expenditure survey is old; its data does not reflect households today and is not enough to update the price basket and poverty indicators.
Current state
Partial estimates from small surveys, and no up-to-date sampling frame covering all fourteen governorates.
Objective
Run the 2027 national household income & expenditure survey on a sample of 24,000 households with electronic data capture and publish the results within six months of the fieldwork.
Expected scope
The sampling frame, questionnaire design, training 600 enumerators, fieldwork on tablets, processing and publication through the national indicators portal.

Expected benefits

Productivity

Updated price basket and poverty indicators

Time & speed

Results published within six months instead of two years

Related lessons learned

From similar past projects — read them before evaluation

Data governance comes before tracking and analytics

From Medium-Term Plan Implementation Tracker (ministries & governorates)

At the initiation gate the national steering committee made classifying the partner bodies’ data under the approved data-protection policy a condition.

Recommendation: Tie any analytics, AI or survey request to the data-governance outputs and name the data owners before evaluation.

Open the lesson

Nominate participants early in capability programmes

From e-Learning Platform & Computer Labs for Raqqa Schools

The first cohort of teacher nominations slipped six weeks because the governorate education directorate was unclear on the selection criteria.

Recommendation: Put the nomination criteria and per-programme and per-body quotas in the proposal itself.

Open the lesson
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