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SAS 1100

The thematic standard for slum development, affordable housing and resilient cities, illustrated by Swagruha's Niwas project, which repaired 1,265 slum homes in Mumbai.

In plain language

SAS 1100 covers projects on slum development and affordable housing. It also covers work to build resilient cities.

The workbook's case study for SAS 1100 follows Swagruha. This is a Mumbai-based NPO. It builds, repairs and maintains affordable housing for marginalised communities. Its project, called Niwas, repaired homes for slum families. These families work in informal trades: domestic helpers, waste pickers, vegetable vendors and daily-wage labourers. Niwas fixed cracks, roofs and doors. It also added safe drinking-water supply.

Swagruha did one more thing. It helped eligible families enrol for Pradhan Mantri Awas Yojana (PMAY), the government's housing subsidy scheme. So Swagruha's own repair work links to a wider government programme, rather than standing apart from it.

How it works

The project's own scale and evaluation criteria, per the workbook:

  • 1,265 families received housing facilities through Niwas
  • Over 11,000 people impacted across Maharashtra
  • Total spend: Rs 4.67 crore, from January 2019 to December 2022
  • 23% of beneficiaries received a PMAY government housing subsidy
  • 75% of beneficiaries now have improved toilet facilities
  • 83% now have safe drinking water supply
  • 95% of families feel more safe; 93% feel confident dealing with disasters
  • 35% decrease in local crime rate; 32% of beneficiary members found construction/repair employment
  • Beneficiaries save, on average, Rs 10,000 a year, previously spent on repeated house repairs

Named limitations, per the workbook: beneficiaries were reluctant to share their financial status, and some were uncomfortable being interviewed without Swagruha's own community workers present.

A worked example

Figures are the workbook's own SAS 1100 case study numbers.

Of the 1,265 families Swagruha repaired homes for, 23% — roughly 291 families — also received a PMAY subsidy. An assessor applying SAS 1100 needs to separate Swagruha's own contribution from PMAY's: some of those 291 families might have secured the government subsidy even without Swagruha's help, exactly the overlap the Contribution dimension of impact measurement is built to catch.

Meanwhile, the Rs 10,000-a-year saving beneficiaries report, no longer needed for repeated repairs, is a genuine financial outcome an assessor can check against household records — distinct from the 75% improved-toilet-facilities and 83% safe-drinking-water figures, which describe physical conditions rather than money saved.

Why NISM asks about it

Chapter 8 (Social Impact Assessment - Case Studies), section 8.5, builds its case study around SAS 1100 and Swagruha's Niwas project, with a full logic-model table and quantitative and qualitative evaluation criteria. Social Impact Assessment Standards (Chapter 5, Table 5.5) lists SAS 1100 as covering slum development, affordable housing and resilient cities. Expect a question matching "1,265 families" or "Niwas project" to SAS 1100.

Common exam traps

  • SAS 1100 covers slum development, affordable housing and resilient cities — not disaster management generally, which is the separate SAS 1200.
  • 1,265 families is the direct output (homes repaired); over 11,000 people impacted is the wider population figure.
  • 23% of beneficiaries received a PMAY subsidy — a government-scheme linkage, not Swagruha's own repair count.
  • For the full sixteen-standard list, see Social Impact Assessment Standards — this page focuses specifically on SAS 1100's own case study.

Where this is taught

Free preparation for NISM Series XXIII

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