Indirect beneficiaries

A project fixes a village's water supply. The farmers whose land it irrigates are the obvious winners. But the next village downstream gains too, and so does every household in the family of every farmer.

Those people are the indirect beneficiaries. They gain from the project without being reached by it directly.

The workbook counts them in every case study, and always separately from direct beneficiaries. It names who they are, case by case: the population from neighbouring villages, family members, the surrounding communities, the wider community.

Chapter 1 puts the same split in stakeholder terms. Direct stakeholders are directly involved in a social intervention or directly affected by it. Indirect stakeholders are not directly involved, but they are still affected — indirect beneficiaries, the local community, local political leaders.

Why keep the two counts apart? Because the indirect number is always bigger, and always softer. In one case study the direct count is over 25,000 and the indirect count is over a lakh. Merge them and the project sounds four times as effective than its evidence can support.

How the workbook counts them (Chapter 8). Every case study's illustrative key impact indicators carry both figures, and the indirect entry always names who is included:

Two patterns hold across all three. The indirect count is several times the direct count — roughly 4x, 3x and 2.5x. And it is always stated as an approximate or "plus" figure, never as a precise headcount.

The stakeholder version (Chapter 1, section 1.8.3). The workbook categorises stakeholders two ways. Internal and external stakeholders, also called primary and secondary: internal are part of the organisation — employees, board members, contract and part-time staff; external are not, but can affect or be affected by it — funders, government, consultants, volunteers, beneficiaries. And direct and indirect: direct stakeholders are directly involved in the intervention or directly affected by it, while indirect stakeholders are not directly involved but get affected — the workbook's examples are indirect beneficiaries, the local community and local political leaders.

Where they are not counted. They are largely outside the sampling frame. In the watershed case a 5% sample was drawn from direct beneficiaries — farmers, local business owners and the community of the 18 programme villages. The 1,00,000 indirect beneficiaries in neighbouring villages were not sampled. The same pattern runs through the other case studies, where the 5% and 15% samples are drawn from beneficiaries of the programme itself.

Why the distinction is load-bearing for the assessor. Chapter 7 says direct impacts are material and critical to accounting for a social enterprise's performance, are seen in the immediate time frame, and cannot be excluded from the impact report; the indicators that capture them are guided by the taxonomic classification within the SASs. Indirect effects carry no such rule. They are reported as an additional reach figure, and their evidence base is thinner because nobody surveyed them.

Read them against the counterfactual. Chapter 5 requires the assessor to ask what would have happened without the project and how much of the observed change it actually contributed. That question is hardest to answer for indirect beneficiaries, which is precisely why the workbook keeps their count in its own line rather than folding it into the direct total.

The figures below are the workbook's own, from the Chapter 8 watershed case study.

The Integrated Watershed Management Programme covered 18 villages in Ratnagiri and Raigad with a population of over 25,000.

Where the indirect number comes from. The project raised water availability by 76% and total water resources used by 18%, and improved groundwater tables. Groundwater does not stop at a village boundary. Neighbouring villages drawing from the same aquifer gain without a single check dam being built on their land — and without anyone knocking on their doors with a questionnaire.

What an assessor may and may not say. She may report: 25,000 direct beneficiaries, evidenced by a 5% sample and inspection; over 1,00,000 indirect beneficiaries in neighbouring villages, inferred from improved groundwater tables. She may not report 1,25,000 beneficiaries as one number, because only the first 25,000 have survey evidence behind them.

The same logic in a different sector. In the cataract case, 10,000 people received surgery and 30,000+ are counted as indirect — family members and surrounding communities. A daughter who no longer misses school to escort a blind parent is a real gain and nobody tested her. The report's own qualitative criteria say as much: empowerment of women as health advocates and caregivers, and increased involvement of families in healthcare decisions.

One more reason to keep the split. The programme also recorded a 27% decrease in villagers' medical expenses and a 45% rise in annual income. Those are measured on the direct group. If the indirect 1,00,000 were folded into the denominator, both percentages would be wrong — computed on a population that was never measured.

Chapter 8 (Social Impact Assessment Case Studies, 15% weightage and the heaviest chapter in the paper) reports direct and indirect beneficiary counts in every case study's illustrative key impact indicator table. Chapter 1 (section 1.8.3) supplies the direct-versus-indirect stakeholder categories, and Chapter 7 explains why direct impact is the material one that cannot be excluded from a report.

Chapter 8's questions are read-the-table questions: given a case study, identify the number, the tool or the category. Expect an item asking who the indirect beneficiaries were in a named case study (population from neighbouring villages, or family members and the wider community), or asking which count a 5% sample was drawn from (direct beneficiaries).

• The two counts are never added together. Direct beneficiaries have survey evidence; indirect ones are inferred. A combined headline figure overstates what the assessment can support.
• Samples are drawn from direct beneficiaries. The 5% and 15% samples in the case studies come from the programme's own beneficiaries, not from the indirect population.
• The indirect definition changes with the sector. In the watershed case it is neighbouring villages; in the health cases it is family members and the surrounding or wider community. Learn which case names which.
• Indirect beneficiaries are a subset of indirect stakeholders, not the same thing. Chapter 1's indirect stakeholder list also includes the local community and local political leaders.
• Internal/external is a different cut from direct/indirect. Internal and external stakeholders are also called primary and secondary; direct and indirect turn on involvement in, or exposure to, the intervention.
• Direct impact cannot be excluded from the impact report. There is no equivalent obligation for indirect effects, and no SAS taxonomy of indicators for them.
• "Over a lakh" and "30,000+" are approximations in the workbook's own tables. Treating them as exact counts misreads what the assessor claimed.