Summary
During a calling attention motion in the Jammu and Kashmir Assembly on September 30, Handwara MLA Sajad Lone said that 92% of Economically Weaker Sections certificates have been issued in the Jammu region and 8% in Kashmir.
He asked how the Union Territory defines a poor person and called for a uniform definition of poverty. Citing a government reply, he said 7,580 vacancies were filled in two years. Of the 758 jobs reserved under the 10% EWS quota, he said, 697 would have gone to Jammu candidates and 61 to Kashmir candidates.
He argued that the asset criterion, which disqualifies anyone owning a house larger than 3.68 marlas, excludes even the poorest in Kashmir. The issue comes amid a wider fight over rationalising J&K's reservation structure, which rose to about 70% after amendments in March 2024.
WHY IN NEWS FOR UPSC & STATE PCS
Sajad Lone's Assembly intervention put a number on a long-running complaint about how J&K measures economic weakness. A Cabinet sub-committee has recommended restoring a 50:50 split between reserved and open-merit seats, mainly by cutting the Residents of Backward Areas and EWS categories and its report is awaiting a response from the Lieutenant Governor's office.
The EWS skew therefore feeds directly into the question of which quota gets cut.
Standard News
The Ruler Decides the Map: Why a House-Size Rule Divides J&K's Poor
Indian poverty measurement has run into this problem before. In 1993, the Lakdawala Expert Group rejected a single national poverty line and recommended state-specific lines adjusted for local prices. Its reasoning was simple: the same rupee buys different lives in different places.
A yardstick blind to geography does not measure poverty evenly. It quietly ranks regions instead. Jammu and Kashmir's EWS certificates are the latest example of this, now at the level of asset rules rather than income lines.
The Arithmetic That Gave the Game Away Sajad
Lone's figures were stark. Of all EWS certificates issued, 92% went to the Jammu region and 8% to Kashmir. Applied to the 7,580 vacancies filled in two years, the 10% EWS quota of 758 jobs would split roughly 697 to Jammu and 61 to Kashmir.
Read literally, that would mean more than nine in ten of the UT's economically weaker people live south of the Pir Panjal. Lone's case is that the cause lies in the rule. J&K disqualifies anyone owning a house larger than 3.68 marlas.
In the Kashmir Valley, he argues, family homesteads are typically larger structures shared across generations. On the certificate form, a large old house reads as wealth, even when the household's income says otherwise. The national EWS framework shows a similar design choice.
Its asset tests (agricultural land, flat size, plot size) are fixed thresholds applied across very different landscapes. A threshold set without regional calibration does not stay neutral. It tracks housing patterns, inheritance customs and land use as much as need.
From Measurement to Grievance This is
where a technical rule becomes a GS1 question about regionalism. J&K's history is full of regional grievance between Jammu, Kashmir and Ladakh. The Gajendragadkar Commission of the late 1960s was set up to examine exactly this kind of complaint, that development benefits were unevenly shared between regions.
J&K also created a geographic quota, Residents of Backward Areas, under the Reservation Act of 2004, precisely to recognise that place can be a form of disadvantage. The EWS criterion moves in the opposite direction.
It is a region-blind tool used in a region-sensitive polity. When its output splits 92:8 along the old regional line, it does not just misallocate jobs. It hands each region a ready-made story of being cheated. That story is now arriving in the middle of the reservation fight.
The Cabinet sub-committee wants to restore a 50:50 split with cuts drawn mainly from RBA and EWS.
Where the Parallel Breaks Down The
Lakdawala analogy is not perfect. Price differences between states can be measured with consumer price indices. Whether a Kashmiri homestead is "too big" for poverty has no equally clean benchmark. The 92:8 figure is also not proof on its own.
Differences in awareness, documentation and application rates could account for part of the gap. Lone has identified a strong suspect, but the yardstick has not yet been tested properly.
For the exam: when a question links regionalism to "unequal distribution of benefits", this is a clear current example. The unequal distribution here originates in how deprivation is measured, before any benefit is handed out.
Quick Facts
Key numbers & takeaways — revise these first
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Raised by: Sajad Lone, MLA from Handwara, in a calling attention motion in the J&K Legislative Assembly on September 30, 2026.
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EWS certificate split: 92% issued in the Jammu region, 8% in the Kashmir region.
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Recruitment cited: 7,580 vacancies filled in two years; 758 fall under the 10% EWS quota.
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Projected EWS allocation on current criteria: 697 to Jammu candidates, 61 to Kashmir candidates.
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Disputed criterion: owning a residential house larger than 3.68 marlas disqualifies an applicant from EWS in J&K.
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March 2024 amendments to the J&K Reservation Rules raised the ST quota from 10% to 20% after communities including the Paharis were added.
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Overall reservation in J&K government jobs rose from 43% to about 70%, leaving about 30% for open merit.
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A Cabinet sub-committee of the Omar Abdullah government recommended restoring a 50:50 reserved to open-merit split, with SC and ST quotas unchanged.
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The EWS quota nationally rests on the 103rd Constitutional Amendment (2019), upheld by the Supreme Court in Janhit Abhiyan v.
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Union of India (2022).
Connect the dots for your UPSC preparation.
Standard news covers the event. Log in to read our comprehensive analysis and uncover the hidden constitutional, structural, and ethical dimensions of this topic:
How the 1993 Lakdawala reasoning on state-specific poverty lines applies to asset tests like the 3.68-marla rule and why the analogy partly fails.
Why a region-blind EWS test sits uneasily beside J&K's own region-based RBA quota and what that contradiction means for the 50:50 rationalisation.
The alternative explanations for the 92:8 split, such as awareness, documentation and application rates, that any honest audit must rule out first.
A staged reform path, from a district-wise audit of certificate data to regionally calibrated asset thresholds.
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