[Coming now to the most important question: how reliable and authentic
is the SECC data? One would be able to pass judgment on this only when
the SECC lists are verified by objective ground level tests by civil
society and professional organisations. However, a cursory look at the
macro data raises some doubts about its veracity. For instance, for
Kerala it shows that only 3.63% households own a landline phone, but
the number of households owning both landline and mobile phones is
shown as 28.33%!
...
The most disturbing data is about those poorest households who were
automatically and compulsorily included. These comprise: households
without shelter; Destitute, living on alms; Manual scavenger families;
PVTGs; and legally released bonded labour. Their total number is shown
as only 16.50 lakh, or much less than 1 per cent of all rural
households in India.
This gross under-estimation of the poorest of the poor does not tally
with other government figures. For instance, the overall number of
16.50 lakhs is far less than the number of houseless estimated by the
Ministry of Rural Development. The Ministry’s target in the next four
years to provide Indira Awas Yojna (IAY) housing for all rural
homeless is 2 crore families! According to the 2011 Census, 4.3%
households (74 lakh) in rural India are homeless whereas another 39.4%
(6.6 crore) live in just one room. As against 6.6 crores, the SECC
identified only 2.37 crore households, including not just households
with one room but also those who had kuccha walls and kuccha roofs.]

http://thewire.in/2015/07/24/not-counting-the-poor-7173/

The Poor Don’t Count So Why Count the Poor?
BY N.C. SAXENA ON 24/07/2015    

Two questions are integral to any discussion on poverty: How many
people are poor, and who are they? Finding answers to these questions
needs different approaches and methodology. Whereas the number of poor
can be fixed simply through a sample survey, identifying them would
need visiting each and every household.

The erstwhile Planning Commission was the official agency tasked with
estimating the percentage of the population below poverty line (BPL)
once every five years based on the National Sample Survey Organisation
(NSSO) data on consumption expenditure. However, the states have been
conducting a village-wise census to identify the BPL households, with
financial and technical assistance from the Union Ministry of Rural
Development (MORD), in order to implement the MORD’s targeted welfare
schemes.  These surveys which have taken place three times (1992, 1997
and 2002) in the last 25 years have hardly attracted media attention,
compared to the exercise determining the number of poor and fixing the
poverty line.

A large number of flagship programmes are universal, such as Sarva
Shiksha Abhiyan (SSA), Mid Day Meals (MDM), National Rural Health
Mission (NRHM), Integrated Child Development Scheme (ICDS), NREGA,
etc. Then there are programmes which could be called ‘BPL Plus’, such
as Rashtriya Swasthya Bima Yojana (RSBY), a cashless health insurance
cover of the Union government, as well as funding for construction of
household toilets. Here the subsidy is available to all BPL families
plus many others such as artisans, domestic workers (for RSBY), and
small and marginal farmers, SCs, STs, and women headed households (for
toilets). Similarly, the rural housing programme gives weightage to
other indicators besides being BPL, such as being houseless, or
belonging to other specially deprived categories.

In the third category are programmes, such as Old Age Pension, PDS,
etc. that are specifically directed to the BPL population. In
addition, each state has a plethora of schemes that benefit the BPL.
Hence it is vital to evolve a workable methodology to separate them
from the non-poor and identify them truthfully.

Inclusion and exclusion errors

There has been acrimonious discussion in India about ‘how many poor’,
but not on the more important issue, ‘who are the poor’ and how are
they being identified. Many studies have shown that the practice of
including those who should not be included, while excluding those who
should be included is widespread. Errors of exclusion are those that
misclassify the poor in the non-poor category, while errors of
inclusion include the non-poor in the poor category.

According to the XI Plan (volume 2, chapter 4), there are huge
exclusion and inclusion errors in identifying the poor. More than half
of the poor in 2004-05 either had no card or were given above poverty
line (APL) cards, and were thus excluded from BPL benefits.
Presumably, these are the poorest tribal groups, women headed
households, and people living in remote hamlets where administration
does not reach, and who are unable to claim their rights. Thus the
people most deserving of government help are deprived of such
assistance.

On the other hand, almost 60% of the BPL or Antyodaya cards had been
given to households belonging to the non-poor category. There is a
great deal of clamour amongst all people to benefit from government
welfare programmes, and obviously the non-poor are able to get their
names included in the list by using political pressure or through
bribes. Identifying the poor correctly and the criterion for inclusion
is thus central to poverty alleviation.

In view of the inadequacies pointed out by the state governments and
others about the methodology followed in 2002 for identifying the
poor, the MORD constituted an Expert Group under my chairmanship in
2009 to recommend a more suitable methodology for conducting the next
BPL census. The aim was to provide simple, transparent and objectively
measurable indicators for identification of BPL.

My report submitted in August 2009 suggested dividing all rural
households into three categories:  the first would be families who
need to be automatically excluded, such as those owning three or four
wheeled motorized vehicles or mechanized farm equipment, drawing a
salary of over Rs. 10,000 per month, or employed in government. Those
automatically included would comprise the homeless, destitute
households, ‘Particularly vulnerable tribal groups’ (PVTG), households
with disabled persons as bread-earners, and bonded labour. The rest of
the households were to be graded on pre-determined deprivations, and
ranked accordingly.

Method flawed from the beginning

The Ministry of Rural Development accepted the above categorisation
with some changes. However, the most important recommendation of
conducting the census and collecting information openly in a gram
sabha meeting with video graphing so as to promote transparency and
avoid backdoor influence was not accepted. Instead, the Ministry
decided to send a surveyor to each person’s house to fill up a
detailed format. It accepted the Home Ministry’s offer of combining a
caste census with compiling data on economic deprivations; the scheme
was named the Socio-Economic and Caste Census (SECC). Figures for
urban areas and on caste are yet to be declared.

In the decennial Census, the information provided by each household is
confidential, such that neither the respondent nor the surveyor has
any vested interest in giving false information. In a situation where
inclusion determines access to privileges, the temptation for the
respondent to give false information to the outsider surveyor who has
no knowledge of that village would be very high. The surveyor too may
use this opportunity to extract a bribe for recording answers that may
place the respondent in the category of the poor.

Although on paper, the surveyor’s information is to be checked by his
or her supervisor and the sarpanch, we all know how collusion between
supervisors and the ground staff encourages distortion in preparing
such lists of beneficiaries. Therefore, the chances that the SECC
would continue with large errors of inclusion and exclusion cannot be
ruled out. There should have been greater transparency and closer
involvement of gram sabhas and civil society in the identification
process.

Contradictory data

***Coming now to the most important question: how reliable and
authentic is the SECC data? One would be able to pass judgment on this
only when the SECC lists are verified by objective ground level tests
by civil society and professional organisations. However, a cursory
look at the macro data raises some doubts about its veracity. For
instance, for Kerala it shows that only 3.63% households own a
landline phone, but the number of households owning both landline and
mobile phones is shown as 28.33%!*** [Emphasis added.]

Interestingly, the data shows that 87% of households in UP have a
mobile, whereas only 61% of families in Kerala have one!  Moreover,
according to the SECC, only 7.17% of households in Kerala have no
phones at all, which does not jell with the other numbers on phone
ownership.

***The most disturbing data is about those poorest households who were
automatically and compulsorily included. These comprise: households
without shelter; Destitute, living on alms; Manual scavenger families;
PVTGs; and legally released bonded labour. Their total number is shown
as only 16.50 lakh, or much less than 1 per cent of all rural
households in India.*** [Emphasis added.]

***This gross under-estimation of the poorest of the poor does not
tally with other government figures. For instance, the overall number
of 16.50 lakhs is far less than the number of houseless estimated by
the Ministry of Rural Development. The Ministry’s target in the next
four years to provide Indira Awas Yojna (IAY) housing for all rural
homeless is 2 crore families! According to the 2011 Census, 4.3%
households (74 lakh) in rural India are homeless whereas another 39.4%
(6.6 crore) live in just one room. As against 6.6 crores, the SECC
identified only 2.37 crore households, including not just households
with one room but also those who had kuccha walls and kuccha roofs.***
[Emphasis added.]

A survey done by the Ministry of Labour in 2014 shows that in about 5
per cent of households, there are no workers aged 15 years and above.
These 90 lakh households should have been automatically included in
this category. This number is shown in the SECC as only 6.7 lakhs, or
0.37% of the population as opposed to the 5% estimated by the Labour
Ministry.

Coming to the number of manual scavengers, according to a 2013 Lok
Sabha report, 7.70 lakh manual scavengers and their dependents were
identified by States/UTs during implementation of the National Scheme
for Liberation and Manual Scavenging in India in 2007. The SECC admits
far less, only 1.8 lakhs.

The inference is inescapable; the poorest have not been able to
convince our enumerators to recognise them.  According to SECC itself,
13.35 crore households (74.5% of the total) have a monthly income of
less than Rs 5000, whereas there are only 8.69 crore households with
any one of the 7 deprivations. Does it mean that almost one-third of
those earning less than Rs 5,000 (Planning Commission’s poverty
cut-off line was Rs 4080 per month per household in 2011-12) are not
deprived in any manner?

These are my initial reactions. Either the definitions of deprivations
have been deliberately kept narrow so as to exclude a large number of
people, or enumerators have lived up to their past reputation of
collusion with the rich. In the process a large number of poor will be
denied access to targeted programmes. The government has not been able
to eliminate poverty, but it has certainly succeeded in eliminating
the poor from its radar.

N.C. Saxena is an expert on poverty and rural development, former
Member of the Planning Commission, and former Secretary, Government of
India.

-- 
Peace Is Doable

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