People's Democracy(Weekly Organ of the Communist Party of India (Marxist) |
Vol. XXXV
No.
24 June 12, 2011 |
BPL Census: Will it Help
the Poor?
Brinda Karat
THE BPL Census 2011 for
rural areas will start in a few
selected states beginning with Tripura in the month of June. The
numbers of
poor in each state have already been decided by the Planning
Commission. For
example regardless of how many poor people are identified as being poor
in
Tripura after the BPL census, only 49 per cent (see states list below)
will be
given BPL cards. Thus the intrinsic flaw
remains: the Planning Commission decides the numbers (poverty
quota) in
each state on the basis of their dubious estimates while the rural
development
ministry and its counterparts in the state identify who is to be
included in
those numbers. In a country with vast numbers of poor such as
The rural BPL
questionnaire is
available while the urban BPL questionnaire is yet to be finalised.
After the
widespread criticism of the earlier questionnaires being used by the
rural development
ministry to identify the poor, the government gave an assurance on the
floor of
parliament to rectify the problems.
An elaborate exercise
including a
pilot study of over 260 villages on a new questionnaire had been
conducted. But
the end result is far from satisfactory. Except for the removal of a
few
absolutely objectionable questions in the 2002 questionnaire such as
the number
of meals eaten in a day, the number of sarees owned with a ranking to
get you
into BPL category only if you ate once a day or owned one saree, the
design for
the identification of the poor is highly questionable.
The design includes an
automatic
exclusion category and an automatic inclusion category which are new
additions
to the design. It however retains the ranking system for the rest. In
the 2002
BPL questionnaire there were 13 questions each with a score of 0-4 with
a total
score of 0-52 with 0 denoting the most poor. In the present
questionnaire of
seven questions there are seven questions with a 0-7 score with 7
denoting the
most poor.
EXCLUSION
CATEGORY
An easily verifiable
exclusion
category for the BPL census would be unexceptionable given the reality
of
social and economic inequalities in rural
The automatic exclusion
list is
unfair and should be rectified. In any case, it has been shown through
experience both in India such as in Tamilnadu and in many other
countries, that
self-exclusion of those who do not require the subsidy benefit turns
out be
much more accurate and fair. Moreover an automatic exclusion criteria
makes
sense only when the rest of the population is automatically included as
eligible for the social security guarantee, but this is not the case in
the
present census.
On the contrary, the five
point
automatic inclusion category is in fact so absurd and narrow that it is
unlikely to cover even five per cent of the rural poor. Destitute
people have
been defined as those living on alms and will be in the automatic
inclusion
list but if for example a family of two senior citizens who are forced
to work
say four or five days a month just to survive, will not be included as
destitute as they do not “beg.” Another strange category for automatic
inclusion
is “legally released bonded labourers.” If the worker runs away from
bondage,
then presumably the worker is not “legally released” and has no right
to be
automatically included. The others include: “households without
shelter, manual
scavengers, primitive tribal groups”
This five point automatic
inclusion
category makes a mockery of social realities. It does not mention any
social
categories such as SC/ST, disabled, widows, casual manual workers as it
should
do.
RANKING
SYSTEM
The most problematic part
of the BPL
questionnaire is the retention of the concept of ranking based on seven
questions. With such a narrow automatic
inclusion criteria, the large mass of the rural poor will be marked
poor or
non-poor through a ranking system. The questions are odd and have
little
connection with the actual conditions. Suppose you are a tribal family
of five
members, one adult woman Mina Usendi, one female senior citizen, one 17
year
old boy and two polio affected girls, with half a bigha of land having
to do
manual work to survive. How would you be marked in the seven point
questionnaire which would make you eligible or ineligible for a BPL
card?
Question1: “Houses with
one room with
kutcha walls and roof.” Since within the small plot of land you have
erected a
kutcha house with a kutcha roof with two small rooms (not one) on the
first
question you will score 0.
Question 2: “Household
with no adult
member between age 16 to 59”. Since you are 35 years old and therefore
adult,
on the second question also you score 0.
Question 3: “Female headed
family
with no adult male member between age 16 to 59.” Although you are a
female, and
you head your family, since your eldest child is a 17 year old boy, you
will
get a 0 rank.
Question 4: “Household
with any
disabled member and no able bodied member.” You have two children who
are
disabled, suffering from polio, but since you are able bodied you get 0
on this
question.
Question 5: “SC/ST
households” Since
you are a tribal you will get 1 on this marker.
Question 6: “Households
with no
literate adult above 25 years.” Since you are 35 years old and have
studied
upto Class 4, you are literate and therefore will get a 0.
Question 7: “Landless
households
deriving the major part of their income from manual casual labor.”
Since you
have half a bigha of land, even if it is dry and unproductive, even
though you
work from morning to night as a casual manual worker you will still get
a 0.
Therefore on a score of 7
a tribal,
female headed household depending on casual manual labour, will score a
1 on a
score of 7.
This data will be put up
in the
panchayat office and will be made public in the gram sabha so that
claims and
objections can be filed. However since her details have been filled up
correctly, Mina Usendi files no objections.
So will Mina Usendi with a
score of 1
get a BPL card?
Clearly the questionnaire
itself is
so designed as to ensure that only a small percentage of the poor can
score the
highest or near highest marks. This can also be used politically by the
proponents of the current framework of neo-liberal policies to claim
that low
scores on the 0-7 list show that the number who could be graded really
poor are
going down. The basic problem with the ranking system is that it wants
to
create confusion over the concept of poverty and create multiple
divisions
within the poor. It’s like trying to distinguish between the "poor",
"very poor", "very very poor", "extremely poor"
and so on. The only purpose that this serves is to identify a small
segment of
the population as "extremely poor" and by implication characterise
the rest of the "poor" as "not so poor". This is the
classic way neoliberal policymakers make poverty disappear. You are no
longer
poor because you are not as poor as the poorest of the poor!
The rural development
ministry and
related departments at the state level have the job of identifying the
poor
according to the seven point questionnaire but the numbers who will be
recognised
as being poor is determined by poverty estimates and the “caps” on
numbers of
poor determined by the dubious methods and assessments of the Planning
Commission.
Thus for example to get 42
per cent
which is the poverty “cap” set for Bengal the cut-off score may be 4.
All those
who have scored below 4 will be deprived of the card. The cut-off for
each state
will differ. A person in Madhya Pradesh who has the same score of 4 may
not get
into the BPL category because to suit the “cap’ of the Planning
Commission, the
cut-off score in Madhya Pradesh may be 5 as there may be many more
families
with a score of 5-7 than there are in Bengal. This is the terror of
cut-off
lines.
In this scenario it is
most unlikely
that Mina Usendi with a low score of 1, will get a BPL card.
CONGRUENT
STRATEGIES
The questionnaire of the
BPL census
fits nicely in to the current NAC drafts on the food security bill.
Having
given up the most logical and only fair and just basis for food
security,
namely a universal system of food security, the national advisory
council which
includes many members of the Right to Food campaign, itself has
suggested new
forms of targeting such as “priority” groups of 46 per cent which is
what the
Planning Commission has accepted. Another suggestion is that of
geographical
targeting. The NAC also suggests a “social inclusion approach under
which
certain vulnerable social and economic categories of persons are
identified”,
thus making way for the fraudulent “automatic inclusion” criteria of
the BPL
census. These are also more or less the categories suggested in the
Supreme
Court orders which involves the public interest litigation moved by the
PUCL
and others. But the congruence does not end here. The recent World Bank
report
entitled Social Protection for a Changing India arguing strongly
against a
universal system also advocates as alternatives, geographical targeting
as well
as “targeted groups.”
The present BPL census
questionnaire
is designed to once again narrow down the identification of the poor to
suit
the wholly arbitrary and utterly unfair estimates of poverty handed out
by the
Planning Commission (see list below). The new design itself is faulty
and both
the exclusion and inclusion categories follow the same aim. The
continuation of
the ranking system is adding insult to the injuries of the poor in
Final Poverty Lines and Poverty Head Count Ratio for
2004-2005 |
|||
|
|
|
|
State |
Rural Poverty Line (Rs) |
Rural Poor
Percentage |
+
10 % Transient Poor |
Andhra Pradesh |
433.43 |
32.3 |
35.53 |
Arunachal Pradesh |
547.14 |
33.6 |
36.96 |
|
478 |
36.4 |
40.04 |
|
433.43 |
55.7 |
61.27 |
Chhatisgarh |
398.92 |
55.1 |
60.61 |
|
541.39 |
15.6 |
17.16 |
|
608.76 |
28.1 |
30.91 |
|
501.58 |
39.1 |
43.01 |
Haryana |
529.42 |
24.8 |
27.28 |
Himachal Pradesh |
520.4 |
25 |
27.5 |
Jammu & Kashmir |
522.3 |
14.1 |
15.51 |
Jharkhand |
404.79 |
51.6 |
56.76 |
Karnataka |
417.84 |
37.5 |
41.25 |
Kerala |
537.31 |
20.2 |
22.22 |
Madhya Pradesh |
408.41 |
53.6 |
58.96 |
|
484.89 |
47.9 |
52.69 |
Manipur |
578.11 |
39.3 |
43.23 |
Meghalaya |
503.32 |
14 |
15.4 |
Mizoram |
639.27 |
23 |
25.3 |
Nagaland |
687.3 |
10 |
11 |
Orissa |
407.78 |
60.8 |
66.88 |
|
385.45 |
22.9 |
25.19 |
|
543.51 |
22.1 |
24.31 |
Rajasthan |
478 |
35.8 |
39.38 |
|
531.5 |
31.8 |
34.98 |
Tamilnadu |
441.69 |
37.5 |
41.25 |
Tripura |
450.49 |
44.5 |
48.95 |
Uttar Pradesh |
435.14 |
42.7 |
46.97 |
Uttaranchal |
486.24 |
35.1 |
38.61 |
|
445.38 |
38.2 |
42.02 |
All |
446.68 |
41.8 |
45.98 |