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Context & Coverage
Throughout 2021, REACH, in collaboration with in-country coordination bodies and implementing partners, facilitated 20 Multi-Sector Needs Assessments (MSNAs) across 19 countries.
While contexts varied, the overarching goal of the MSNAs was to enhance the availability of evidence on the multi-sectoral needs of populations affected by crises, in order to support strategic humanitarian decision-making.
The analysis presented here is based on a set of 23 different indicators which were collected in a more or less standardized format in 15 MSNAs conducted in 2021 across the following countries: Afghanistan (AFG), Burkina Faso (BFA), the Central African Republic (CAR), Colombia (results are presented separately for internally displaced people (COL - IDP) and the host community (COL - HC), as the sampling strategy used requires to treat them as two distinct groups), the province of Tanganyika, Democratic Republic of the Congo (DRC - TA), Iraq (IRQ), the Dadaab refugee complex in Kenya (KEN - DC), Lebanon (LBN), Libya (LBY, covering the Libyan population, excluding refugees and migrants), Mali (MLI), Niger (NER), Northeast Nigeria (NGA - NE), the occupied Palestinian territories (OPT), Somalia (SOM), and Syria (SYR).
Limitation
When interpreting the results, the following limitations have to be taken into consideration:
• The level of precision of the findings varies by context and level of disaggregation. In particular when results are disaggregated by population group or geographically, the margin of error may be relatively high, such that only relatively large differences may reflect true differences in the data (rather than ‘normal’ variation). Moreover, not all results are statistically representative and thus generalisable to the entire crisis-affected population, neither did the assessed population always necessarily cover the entire crisisaffected population. See annex III for more information on which results should be considered representative and which ones indicative only (and of which populations).
• Data was collected between May and November 2021 (see annex III). Differences in seasonal patterns between countries may affect the comparability of indicators that tend to show seasonal variations, such as indicators related to water sources or food security. Moreover, all results are reflective of the situation and the possible gaps experienced at the time of data collection. Any major contextual changes that occurred since will affect the relevance of the findings presented in the following.
• Different proportions of missing data (either due to households having preferred not to answer certain questions or due to particularities in data collection tools) may affect the comparability of the results. The proportions of missing data are therefore always clearly stated in the following. In this context, an increasing possibility of having underestimated gaps with increasing proportions of missing data has to be taken into consideration when interpreting the results.
• Differences in data collection methodologies, including question and response option phrasing, may affect the comparability of the results. Such differences are therefore always clearly stated in the following.
• All indicators are reflective of the situation given the levels of humanitarian assistance provided at the time of data collection. As such, any reported gaps are gaps that existed despite the assistance having been provided at the time of data collection and for the situation not to deteriorate, this level of assistance would at a minimum have to be maintained. This may be particularly relevant when interpreting results from very aid-dependent contexts, such as camp contexts but also other contexts largely dependent on humanitarian assistance.