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  1. M&E Library
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  3. Data Collection Budget

Data Collection Budget

The line-item budget covering the actual costs of collecting M&E data: enumeration, transport, instruments, devices, training, supervision. Typically 30-50% of the total M&E budget for programs with primary data collection, more for survey-heavy programs.

A data collection budget covers the actual cost of collecting M&E data: enumerators, transport, instruments, devices, training, supervision, and quality control. For programs with primary data collection, it typically runs 30-50% of the total M&E budget, and more for survey-heavy programs.

What the Budget Covers

A credible data collection budget itemizes the following lines, not a single lump sum:

  • Enumerator fees: day rate times days deployed times number of enumerators. The most common hidden driver of cost.
  • Per diem, transport, and accommodation for field teams moving between sites.
  • Device or paper instrument costs: tablets or phones if digital, printing if paper. Digital usually wins on round two onward.
  • Pretesting and piloting: a real line item, not an afterthought. Plan for one to two pilot days per instrument.
  • Supervisor time in field: a field supervisor for every five to eight enumerators, with their own per diem and transport.
  • Enumerator training days: typically three to five days per round, paid.
  • Instrument translation into local languages, including back-translation for quality.
  • Platform subscription: Kobo, SurveyCTO, CommCare, or equivalent. Annual or per-submission pricing.
  • Data cleaning and quality checks: a line, not absorbed into staff time.

Budgeting Per Round

Estimate on a per-round basis: sample size times enumeration cost per interview, plus overhead. Multi-round studies scale by number of rounds (baseline plus midline plus endline equals three rounds) minus shared setup costs. Instrument development, translation, and platform build are done once. Training is partially reused, though refresher training is needed each round. Fieldwork is paid fresh every round.

A useful shortcut: cost out one complete round end to end, then multiply by rounds and subtract shared setup. If you cannot cost a single round cleanly, the budget is not ready.

Typical Scale

For a mid-size program around $5M over three years, data collection costs typically land in the $150,000 to $400,000 range depending on survey intensity. Programs with quarterly panel surveys run higher. Programs with annual small assessments or secondary data reliance run lower. A program doing a single household survey at baseline and endline will sit at the low end. A program running quarterly facility surveys across 40 sites will sit at the high end.

Proposal Context

The data collection budget is where proposal reviewers check whether the MEL plan is actually executable. Common red flags: (a) proposing baseline, midline, and endline surveys with n=2,000 but budgeting $30,000 total, which is not enough for even one round; (b) no enumerator training line item; (c) no supervision cost for field teams; (d) no instrument translation budget in multilingual contexts. The budget should itemize per round and be defensible against the indicator set. If the MEL plan requires a 40-village household survey quarterly, the budget must cover four rounds of 40-village deployment. Weak data collection budgets are one of the top reasons MEL plans fail at execution: the plan looks good, the budget does not match, and fieldwork gets cut mid-program.

Common Mistakes

Underbudgeting by costing a single round when multi-round is needed. Teams price one baseline and forget that midline and endline cost almost the same, minus one-time setup. A three-round design is not 1.2x a single round. It is closer to 2.3x to 2.6x.

Collapsing the data collection budget into the M&E staffing budget. Enumeration and supervision are activity costs, not staff costs. Keep them separate so reviewers and program managers can see what fieldwork actually costs against what the M&E team costs.

Related Topics

  • MEL Plans: The plan the data collection budget must resource
  • M&E Staffing Plan: The sibling budget line covering MEL team cost
  • Data Quality Assurance: The verification activities that sit inside the collection budget
  • Baseline: The first and often most expensive collection round

Related Topics

Overview
M&E Plans
A detailed operational document that translates your logframe and theory of change into actionable M&E requirements, specifying what data to collect, when, from whom, and how it will be used.
Quick Reference
M&E Staffing Plan
The proposal and MEL plan component that specifies the monitoring and evaluation team: roles, level of effort, reporting lines, qualifications, and coverage across the program lifecycle. The difference between an M&E plan that can run and one that cannot.
Overview
Data Quality Assurance
A systematic process for verifying that collected data meets five quality dimensions, Validity, Integrity, Precision, Reliability, and Timeliness, ensuring data is fit for decision-making.
Quick Reference
Baseline
Initial conditions data collected at the start of a project to establish a reference point for measuring change and setting indicator targets.

Decision Guides

How to Write the M&E Section of a Proposal
A step-by-step guide to writing the M&E, MEL, or MEAL section of a program proposal. What to include, how to structure it, and the mistakes that get proposals rejected.
How to Write a MEL Plan: A Practical Step-by-Step Guide
A MEL plan turns your program design into the measurement system that will run for 3-5 years. Here is how to write one that is specific, usable by field staff, and defensible to donors: the eight sections every plan needs, in the order to build them.
Paper vs Digital Data Collection: Which to Use and When
Digital is usually the right answer, but not always. Here is when paper still wins, when digital pays for itself, and the hybrid workflow that handles both.
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