Accurate refugee camp survey sample sizes generated instantly here.
This calculator utilizes Cochran's formula adjusted for finite populations, multi-stage cluster sampling design effects, and expected non-response rates common in Camp Management and Coordination (CMP) assessments.
The core formula for infinite population sample size is expressed as:
$$n_0 = \frac{Z^2 \cdot p \cdot (1 - p)}{e^2}$$
Finite Population Correction (FPC) is then applied:
$$n_{fpc} = \frac{n_0}{1 + \frac{n_0 - 1}{N}}$$
Finally, we multiply by the Design Effect ($Deff$) and divide by $1 - \text{Non-Response Rate}$ to obtain the final robust sample size.
Conducting humanitarian assessments in Camp Coordination and Camp Management (CCCM) settings requires rigorous statistical approaches to ensure resource allocation is precise and equitable. Humanitarian organizations frequently rely on random or multi-stage cluster sampling methodologies to evaluate needs regarding shelter, food security, water, sanitation, and health (WASH).
When working within dynamic camp environments, populations fluctuate continuously. Accounting for finite population correction prevents oversampling while maintaining high data accuracy. Furthermore, design effects compensate for the homogeneity found within specific camp blocks or zones, ensuring that cluster-based sampling yields confidence intervals comparable to simple random sampling.
Non-response rates must also be explicitly factored into fieldwork planning. Refusals, absent household members, or abandoned tents can severely compromise data validity if unaddressed. Adding a reliable buffer percentage guarantees statistical power remains intact upon completion of data collection phases.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.