Landlessness and rural poverty in Pakistan.
Anwar, Talat ; Qureshi, Sarfraz K. ; Ali, Hammad 等
I. INTRODUCTION
Poverty imposes a repressive weight on Pakistan particularly in
rural areas where almost one third of population and majority of the
poor live. Although poverty has declined during the 1970s and 1980s, the
absolute number of poor has increased substantially since the 1960s.
Despite a number of policy initiatives and programmes undertaken for
poverty alleviation by various governments, absolute poverty
particularly in rural areas continued to rise in Pakistan during the
1990s. Much has been written about poverty in Pakistan so far. A number
of attempts have been made by various authors/institutions to estimate
the rural poverty in Pakistan in the 1990s. Discussions have remained
limited to estimating the regional and provincial trends for rural
poverty in Pakistan. Although landlessness and rural poverty in Pakistan
received significant attention in the 1970 and 1980, discussions on this
issue remained limited in the 1990s. Landlessness and rural poverty are
closely linked since land is a principal asset in a rural economy like
Pakistan. Landlessness to agricultural land is considered to he the most
important contributor to rural poverty. A high concentration of
landownership is a major constraint to agricultural growth and
alleviation of poverty. There is a general perception that highly skewed
distribution of land in Pakistan is one of the important causes of
widespread poverty particularly in rural areas.
It is this context that has guided us to examine the landlessness
and rural poverty in Pakistan. The paper is structured as follows. The
next section provides a critical review of the most recent work on the
extent and trends in poverty in the 1990s. Methods of measurement of
poverty are discussed in Section III. Section IV discusses the data set
of Household Integrated Economic Survey (HIES), 2001-02 that has been
used to examine the landlessness and rural poverty in the country.
Section V presents the results for the prevalence of rural poverty using
the official poverty line. Main conclusions and policy implications
conclude the discussion in the final section.
II. REVIEW OF RURAL POVERTY
Various authors/institution have estimated incidence of poverty in
Pakistan since the 1960s. The work on poverty include Naseem (1973,
1979); Alauddin (1975); Mujahid (1978); Irfan and Amjad (1984); Kruijk
and Leeuwen (1985); Malik (1988); Ahmad and Ludlow (1989); Ercelawn
(1990), Malik (1991, 1994); Amjad and Kemal (1997); FBS (2001); World
Bank (1995, 2002); Anwar and Quershi (2002); Planning Commission (2003)
and Malik (2005). These authors and/or institutions employed different
methods, chose different poverty lines and thereby, reported divergent poverty trends.
In contrast to Naseem (1973) and Alauddin (1975); I rfan and Amjad
(1984) in a seminal paper showed a significant increase in rural poverty
between 1963-64 and 1969-70, whereas a significant reduction in poverty
between 1969-70 and 1979 (see Figure 1). The authors finding suggest
that rural poverty rose due to the significant changes in the agrarian
structure, especially the size distribution of holdings which are said
to have had important repercussions for the rural occupational
distribution of households. The introduction of new technology allowed
large landowners to resume land previously rented-out for self
cultivation. Tenant farmers were hence evicted, and had either to
operate smaller landholdings, or then join the ranks of the landless labourers. Thus, despite a greater agricultural growth on account of
technological innovation, the conditions of those evicted deteriorated.
Increased mechanisation led to a decrease in demand for labour which has
been one of the key reasons for the increase in poverty. On the other
hand, decline in rural poverty in the 1970s was due to a significant
increase in remittances that allowed a redistribution of income in the
rural sectors having positive impacts on poverty.
[FIGURE 1 OMITTED]
However, rural poverty continued to decline between 1979 and
1987-88 because of respectable growth in agriculture sector together
with continuous flow of overseas workers' remittances. Various
attempts to estimate rural poverty in the 1990s include FBS (2001);
World Bank (2002); Anwar and Qureshi (2002); Planning Commission (2003)
and Malik (2005). Except World Bank (2003), these studies found a rising
trend in poverty levels in the country during the 1990s (see Table I).
Both FBS (2001) and World Bank (2002) studies are comprehensive in
coverage of issues and thus important to understand poverty in the
country at regional and provincial level. However, unlike other studies
World Bank (2002) is the only exception that argues that rural poverty
is more or less stagnant in Pakistan during the 1990s. This contrary
trend is mainly attributed to the fact that World Bank (2002) had
overestimated the rural poverty in 1990-91 as it had not made correction
for household expenditure for its composition via a correction in the
per adult equivalent ratio to compute poverty in 1990-91. However, in
the later period, it has made such correction to compute poverty in
1998-99. Due to this inconsistency in method of computing poverty, the
World Bank (2002) rural poverty estimates were high at 36.9 percent in
1990-91 whereas it were low at 35.9 percent in 1998-99 relative to other
studies. (1) It is, therefore, not appropriate to draw a conclusion
about poverty trend when the method of measurement is not consistent.
Thus, a stagnant trend drawn for the 1990s by the World Bank (2002)
study for rural poverty in Pakistan seems to be a puzzling conclusion.
The FBS (2001) study evaluates the poverty trends during the 1990s.
The study used its estimated poverty line of Rs 782 per adult per month
in 1998-99 prices sufficient to meet minimum calorie intake of 2550 per
adult per day. The rural poverty trends drawn by the study is consistent
with the other studies. The study concludes that rural poverty increased
significantly from 29.6 percent in 1992-93 to 36.3 percent in 1998-99.
Furthermore, Anwar and Qureshi (2002) used an inflation adjusted poverty
line of Rs 668 per adult per month in 1998-99 prices and concluded a
substantial rise in rural poverty from 32.1 percent 1998-99 and to 41.0
percent 2001-02. Although Malik (2005) did not mention the poverty line
used in the study, his results also corroborate a rising trends in rural
poverty during the 1990s. The rise in rural poverty was attributable to
a decline in growth rates of agriculture sector which reversed the
historically declining trend and resulted in rise in rural poverty (see
Figure 1). In addition, Malik (2005) concluded that the growth in
agriculture sector was overstated due to incorrect account of livestock
fishing and forestry for some years of the 1990s. With a population
growth rate of 2.5 percent over this period, growth in per capita growth
remained stagnant at 0.6 percent over the 1990s. Consequently, real
wages of agricultural workers fell during the period. Thus, the rise in
poverty was certain given the decline in real wages of the population
during the 1990s. Furthermore, Malik (2005) argued that skewed land
distribution results in sharecropping which exploits the poor tenants
and is thus one of the major constraints for rural poverty reduction.
In 2002-03, the Planning Commission reduced the reference threshold
in determining national poverty line from minimum calorie intake 2550 to
2350 per adult per day required on average for an individual for
physical functioning and daily activities. Planning Commission notified
the estimated official poverty line at Rs 673 per capita per month in
1998-99 price and Rs 748 per capita per month in 2001-02 prices. The
implications of this change of the definition of poverty is that the
poverty levels has been reduced by 2 percentage points at national as
well as the province level which is an statistical artefact but not a
decline in reality. Poverty estimate implied by the above official
poverty line suggests that 32 percent of population in Pakistan and 38.9
percent of population in rural areas were poor in 2001-02. It is
noteworthy that Anwar and Qureshi (2002) using lower poverty line of
consumption expenditure of Rs 735 per adult per month in 2001-02 prices
estimated a headcount at 35.6 percent for the country as a whole. Thus,
official poverty estimates at 32 percent of population using a higher
poverty line of Rs 748 per capita per month in 2001-02 seem to be
significantly lower and needs to be corroborated from independent
sources. (2) Thus, there is need to use official poverty line to
estimate poverty level of poverty in the country. In this context, the
paper uses the official poverty line and the most recent available
household data--HIES 2001-02 to estimate rural poverty in Pakistan.
III. METHODS OF MEASUREMENT OF POVERTY
To estimate the rural poverty in the country, the official poverty
line of Rs 748.56 per adult per month in 2001-02 notified by Planning
Commission as sufficient resources in rupee term to meet minimum
requirement of 2350 calorie per adult has been used. While estimating
poverty, an adjustment has been made in the overall poverty line for
Pakistan using the Paasche indices at the primary sampling unit level to
account for the significant price differences between the rural and
urban regions. To obtain representative estimates of population, a
weight is assigned to each observation in the sample according to the
weighting factors given in HIES, 2001-02.
To measure the poverty, the Foster, Greer, and Thorbecke (1984)
class of poverty measures [P.sub.[alpha]], have been used. These
measures do not only reflect the severity of poverty but also satisfy
the axiom of decomposability and additivity.
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
These measures have clear advantages for evaluating policies which
aim to reach the poorest. Note that if [alpha] = 0, the FGT index,
[P.sub.[alpha]] = Headcount measure, if [alpha] = 1, [P.sub.[alpha]] =
Poverty gap index or quotient and if [alpha] = 2, [P.sub.[alpha]] is the
mean of squared proportionate poverty gaps and indicates greater
severity of poverty among the poorest. The higher the value of [alpha]
the more sensitive the measure is to the well being of the poorest. As
[alpha] approaches infinity the measure collapses to one which reflects
the poverty of the poorest person.
IV. THE DATA SET
The most recent available primary data of Household Integrated
Economic Survey (HIES) for the year 2001-02 have been used to examine
the rural poverty in Pakistan. The universe consists of all urban and
rural areas of the four provinces of Pakistan defined as such by the
Population Census. The sample of HIES 2001-02 consists of 14,599
households both rural and urban in all the four provinces of Pakistan. A
stratified random sampling has been done. Accordingly, the population is
divided into mutually exclusive sub-populations, each of which is
sampled independently. The results of these independent random samples
are then combined to provide the desired estimate for the entire
population. HIES provides complete information on quantity and
expenditure of all food and non-food items. Since income of the poor
varies particularly in rain fed economy like Pakistan, the household
current consumption expenditure is preferred to income as the indicator
of living standards. Hence, current consumption expenditure on all
non-durables is used as a proxy for 'permanent income' for the
measurement of poverty in this paper.
V. POVERTY LEVELS IN PAKISTAN
The poverty appears to be widespread in Pakistan. The results
indicate that prevalence of absolute poverty in Pakistan implied by the
official poverty line was at 38.02 percent in 2001-02 (see Table 2).
Incidence of rural poverty was far greater than the urban poverty. The
results suggest that 42.93 percent of population in rural areas and
26.04 percent of population in urban areas were poor in 2001-02. This
implies that 55 million individuals out of 145 million were poor in
Pakistan; of these, 37.4 and 17.6 million individuals were located in
rural and urban areas, respectively.
Poverty estimates at the province level suggest the highest
incidence of rural poverty in Sindh at 48.63 percent followed by NWFP at
48 percent and Balochistan at 42 percent. Although rural poverty in
Punjab was the lowest among the provinces in terms of ranking but the
headcount was still considered to be substantial at 39 percent in
2001-02.
1. Landownership and Poverty
The above results indicate that prevalence of poverty in rural
areas was substantially higher than the urban areas. The next question
arises, what accounts for causes and persistence of high prevalence of
rural poverty in rural area. This section attempts to address this
question. The distribution of asset ownership is central in
understanding poverty. Land is the principal asset in a rural economy.
Results indicate that poverty is strongly correlated with lack of asset
in Pakistan. Tables 3 to 5 reports headcount ratio, poverty gap and
poverty severity measure by land holding. Poverty incidence was found to
be the highest in Pakistan in rural areas among landless at 54.89
percent followed by non-agriculture households at 47.76 percent.
However, poverty incidence declines with increases in the land
holding. Poverty gap and poverty severity measures also indicate a
substantially high poverty gap among landless in the country (12.15
percent) followed by non-agricultural households (10.58 percent).
Poverty gap also declines with increases in landholding (see Table 4).
The severity of poverty measure that capture the degree of inequality
among the poor also follow a similar pattern.
The above results suggest that the unequal landownership in
Pakistan is one of the important causes of poverty since land is the
principal asset in an agrarian economy. The landless households are
substantially high in Pakistan. About 67 percent households own no land
(landless plus non-agriculture, see Table 6). In contrast, about 18.25
percent household own under 5 acres of land and 9.66 percent household
own 5 to 12.5 acres of land, which merely provide subsistence level of
living standards. A very small proportion of households hold large farm
sizes in the country. Strikingly, barely I percent (0.64 percent plus
0.37 percent) households own greater than 35 acres of land suggesting a
highly skewed landownership pattern. This is also confirmed by the Gini
coefficient of land holding which was very high at 0.6151 in 2001-02
(see Table 8). Thus, highly unequal land distribution is the main
manifestations of poverty in rural Pakistan.
Data at province level provides a more disaggregated picture of
landlessness and rural poverty in Pakistan (see Table 3, 4 and 5). At
province level, the highest poverty incidence among the landless was
found in Balochistan at 69.6 percent followed by NWFP at 65.9 percent
and Sindh at 58.6 percent (see Table 3). Households engaged in
non-agricultural economic activities were also severely hit by poverty
across rural areas. The highest poverty incidence among the
non-agriculture households was found in NWFP at 50.8 percent followed by
Balochistan at 45.3 percent and Punjab at 47.5 percent. On the other
hand, households with a small land holding under 5 acres were also hit
by the poverty in Sindh at 46.6 percent followed by NWFP at 43.2 percent
and Balochistan at 42.5 percent. However, poverty levels generally
decrease with increases in land holding and eliminates with 55 acres and
above. Thus, distribution of landownership seems to be one of the most
important determinants of rural poverty in the country.
Distribution of land holding at province level indicates that about
86 percent households own no land in Sindh (landless plus
non-agriculture), followed by 78 percent in Balochistan and 74 percent
in Punjab (see last column, Table 7). The unequal landownership pattern
is clearly reflected by the fact that a very small portion of all
households holds large farm size in all provinces. Notably, merely 0.1
percent households own 55 acres of land in Sindh and NWFP followed by
0.2 percent households in Punjab and 0.3 percent households in
Balochistan suggesting a highly skewed landownership pattern.
Distribution of land by per capita consumption quintile shows a greater
concentration of first four consumption quintiles in land holding under
12.5 acres. On the other hand, top quintile--the top 20 percent richest
have greater concentration of large size land holding of 35-55 acres and
55 acres and above in all provinces suggesting a highly unequal
distribution of land across provinces. This is also confirmed by Gini
coefficient of landownership as the Punjab had the highest Gini at
0.6339 followed by NWFP at 0.5893 and Sindh at 0.5072 in 2001-02 (see
Table 8). Similar ranking can be observed for the coefficient of
variation in landownership. It is noteworthy that Gini coefficient of
landownership is substantially higher than the Gini coefficient of
expenditure (3) (and income) suggesting an evidence of high
underreporting of expenditure (and income) by the richest households due
to the tax evasion. However, the maximum land holding by a household was
in Punjab at 905 acres followed by Sindh 200 acres. The average land
holding was highest in Balochistan followed by Sindh and Punjab. The
highly unequal land distribution in Pakistan results in tenancy arrangements such sharecropping which are disadvantageous to the poor.
The incidence of sharecropping is high as about 72 percent of
tenant-operated (4) areas are under sharecropping arrangement.
Prevalence of rural poverty by main employment status also confirms the
high susceptibility of poverty of share cropper (see Table 9). The
highest level of poverty was found among share croppers (47.84 percent)
followed by non-agriculture households (44.01 percent), and contract
cultivators (34.83 percent) livestock only (34.51 percent).
2. Sources of Income of Landless Poor
However, distribution of landownership is part of the story of
rural poverty in the country. Landless households earn most of their
income from non-agricultural sources. This is clear from Table 10 that
share of non-agricultural income is dominated in total income of
landless households in all consumption quintiles which ranges from 45
percent to 74 percent. Landless are mostly engaged in informal
activities that absorb a large majority of unskilled, uneducated or less
educated and poor individuals. For example, paid employment and
self-employment are the two major sources of income of landless
households. However, the poorest landless in the first two quintiles
have significantly higher income share from share cropping, contract
cultivating and livestock than their richest counterpart in the high
consumption quintiles. Households involved in these activities can be
characterised as the poorest of the poor. On the other hand, high
consumption quintiles landless households have higher share of income as
employers, income from self and paid employment than the poorest
landless in the first two consumption quintiles.
VI. SUMMARY AND CONCLUSIONS
The paper examined the landlessness and rural poverty in Pakistan.
The results indicate that prevalence of rural poverty based on official
poverty line is far greater than the urban poverty 42.9 percent of rural
population compared to 26 percent of urban population was poor in
2001-02. The results showed that poverty is strongly correlated with
lack of land which is the principal asset in the rural economy of
Pakistan. Prevalence of poverty was found to be the highest among
landless at 54.89 percent across rural areas in the country. Not only
the poverty gap but also the degree of inequality among the landless
household was substantially high. A highly unequal landownership pattern
is reflected by the fact that merely 1.0 percent households own greater
than 35 acres and above land in Pakistan. This result is also supported
by the Gini Coefficient of land holding which was considerably high at
0.6151 in 2001-02. It thus appears that highly unequal land distribution
is the main manifestations of poverty in rural Pakistan.
Distribution of land holding at province level indicates that a
very small portion of all households holds large farm size in all
provinces. Strikingly, just 0.1 percent households own 55 acres and
above land in Sindh and NWFP followed by 0.2 percent households in
Punjab and 0.3 percent households in Balochistan suggesting a highly
skewed landownership pattern. Punjab had the highest Gini coefficient of
land holding followed by NWFP, Sindh and Balochistan in 2001-02. The
finding that Gini coefficient of landownership was substantially higher
than the Gini Coefficient of expenditure and income is suggestive of the
fact of high underreporting of expenditure and income by the richest
households due to the tax evasion. The highly unequal land distribution
seems to have resulted in tenancy arrangements such as sharecropping
which seem to have resulted in high incidence of poverty particularly in
Sindh.
It appears that landlessness to agricultural land is one of the
most important contributors to rural poverty in Pakistan. A high
concentration of landownership and unfair tenancy contracts are major
obstacles to agricultural growth and alleviation of poverty. Thus both
agricultural growth and poverty alleviation can be achieved, if land
inequality is reduced and the tenants are protected by well-enforced
tenancy contacts. Analysts have shown that land redistribution (5) has
been a source of increased efficiency, increased demand for labour and
reduced poverty. While landlessness appears to be one of most important
causes of rural poverty in Pakistan, some policy implications to reduce
rural poverty are discussed here.
First, we found that landless and the poor a largely dependent upon
nonagricultural sources of income. In rural economy employment is mainly
seasonal and determined at low wages, leaving a large proportion of the
landless households in poverty. In this context, employment programmes
for rural public works can have significant role in reducing rural
poverty. It is, therefore, suggested to initiate rural public works
programmes and scale up the existing programmes.
Second, though agricultural growth is considered essential for
poverty reduction in rural areas, it may not alone be sufficient to
reduce poverty because of the factors that drive the growth in
agriculture sector. These included the higher use of conventional inputs
such land, water, fertiliser and seed; increase in total factor
productivity that depends on agricultural research and extension;
adequate rural infrastructure; and targeted transformations in the
institutional set up including financial institution and input and
output markets. These are the areas where future research can be focused
to design and implement pro-poor policy and institutional packages to
reduce rural poverty.
Finally, there has been a much discussion about microcredit to the
poor in Pakistan but much remains to be done to develop this sector.
Although the micro finance institutions in Pakistan are emerging as an
important player for poverty reduction, a substantial segment of the
poor population remained underserved. Our estimates show that 38.1
percent of population (or 8.3 million households) were below the
official poverty line in 2001-02, while just 6 percent (or 0.5 million)
households were provided with loan, through microcredit schemes in the
country so far. A bulk of rural poor in Pakistan remained unable to
benefits from the microcredit programmes. On the contrary, in Bangladesh
95 percent of the poor households (or 9.79 million out of 10.2 million
poor households) were provided microcredit so far which has greatly
reduced absolute poverty during the last three decades. While economic
growth is not sufficient for poverty reduction, the government should
pay a serious attention to the expansion microcredit schemes so as to
give adequate coverage to bulk of the poor particularly in rural areas.
Along with expansion of the microcredit to the poor, there is also a
need to monitor and assess the impact of existing microcredit scheme on
the poor.
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(1) See Anwar (1996); Malik (1991, 1994); A naiad and Kemal (1997)
and Anwar and Qureshi (2002).
(2) World Bank (2005) Poverty Update also reports high level of
poverty at 37 percent for 2001-02 using the official poverty line. ADB
working paper by Malik (2005) also reports sufficiently high poverty
level.
(3) See Anwar (2003), Trends in Inequality between 1998-99 and
2001-02; paper presented in 19th AGM of Pakistan Society for Development
Economics.
(4) See Malik (2005).
(5) See Binswanger, et al. (1995) and Lipton (1998).
Talat Anwar is affiliated with the Research Department, State Bank
of Pakistan, Karachi. Sarfraz K. Qureshi was Director, Pakistan
Institute of Development Economics, Islamabad. Hammad Ali is affiliated
with the Federal Bureau of Statistics, Islamabad.
Table 1
Headcount Measure for Pakistan-1990-91 to 2001-02
Planning Anwar and
FBS World Bank Commission Qureshi
(2001) (2002) (2003) (2002)
Years 2550 2550 2350 2550
Calories Calories Calories Calories
Overall
1990-91 -- 34.0 -- 17.2
1992-93 26.6 25.7 -- --
1993-94 29.3 28.6 -- --
1998-99 32.2 32.6 30.6 30.4
2001-02 -- -- 32.1 35.6
Rural
1990-91 -- 36.9 -- --
1992-93 29.9 27.7 -- --
1993-94 34.7 33.4 -- --
1998-99 36.3 35.4 34.6 32.1
2001-02 -- -- 38.9 41.0
Source: Various studies cited above.
Table 2
Headcount by Province acrd Region Using Poverty Line
Official 748.56 per Adult in 2001-02
Urban Rural Overall
Punjab 26.92 39.27 35.71
Sindh 22.73 48.63 38.50
N W FP 34.21 48.00 45.97
Balochistan 28.57 42.07 39.72
Pakistan 26.04 42.93 38.02
Source: Authors' computation from primary data of HIES 2001-02.
Table 3
Headcount by Landholding, Using Official Poverty Line
748.56 per Adult in 2001-02
Rural
Punjab Landless 45.12
Under 5 Acres 32.18
5 to under 12.5 Acres 21.43
12.5 to under 35 Acres 19.36
35 to under 55 Acres 7.78
55 and above Acres 5.42
Non-agriculture 47.54
Total 39.27
Sindh Landless 58.67
Under 5 Acres 46.62
5 to under 12.5 Acres 43.66
12.5 to under 35 Acres 42.77
35 to under 55 Acres 9.80
55 and above Acres .00
Non-agriculture 46.82
Total 48.63
NWFP Landless 65.95
Under 5 Acres 43.21
5 to under 12.5 Acres 35.57
12.5 to under 35 Acres 29.66
35 to under 55 Acres .00
55 and above Acres .00
Non-agriculture 50.87
Total 47.88
Balochistan Landless 69.63
Under 5 Acres 42.55
5 to under 12.5 Acres 25.37
12.5 to under 35 Acres 34.27
35 to under 55 Acres 14.55
55 and above Acres .00
Non-agriculture 45.39
Total 42.07
Pakistan Landless 54.89
Under 5 Acres 37.00
5 to under 12.5 Acres 28.l7
12.5 to under 35 Acres 27.67
35 to under 55 Acres 8.43
55 and above Acres 3.72
Non-agriculture 47.76
Total 42.91
Source: Authors' computation from primary data of HIES 2001-02.
Table 4
Poverty Gap by Landholding, Using Official Poverty Gine
748.56 per Adtrlt in 2001-02
Rural
Punjab Landless 8.41
Under 5 Acres 5.67
5 to under 12.5 Acres 4.43
12.5 to under 35 Acres 3.39
35 to under 55 Acres 2.84
55 and above Acres 2.20
Non-agriculture 10.94
Total 8.45
Sindh Landless 14.48
Under 5 Acres 8.94
5 to under 12.5 Acres 10.92
12.5 to under 35 Acres 7.28
35 to under 55 Acres 3.71
55 and above Acres .00
Non-agriculture 10.54
Total 11.16
NWFP Landless 14.43
Under 5 Acres 7.52
5 to under 12.5 Acres 7.09
12.5 to under 35 Acres 6.51
35 to under 55 Acres 6.41
55 and above Acres 3.00
Non-agriculture 10.11
Total 9.28
Balochistan Landless 10.76
Under 5 Acres 7.68
5 to under 12.5 Acres 3.59
12.5 to under 35 Acres 4.21
35 to under 55 Acres 1.68
55 and above Acres .00
Non-agriculture 8.57
Total 7.35
Pakistan Landless 12.15
Under 5 Acres 6.56
5 to under 12.5 Acres 6.11
12.5 to under 35 Acres 4.68
35 to under 55 Acres 3.27
55 and above Acres 1.63
Non-agriculture 10.58
Total 9.12
Table 5
Poverty Severity by Landholding, Usirrg Official Poverty Line 748.56
per Adult in 2001-02
Rural
Punjab Landless 2.21
Under 5 Acres 1.52
5 to under 12.5 Acres 1.42
12.5 to under 35 Acres .94
35 to under 55 Acres 1.03
55 and above Acres .89
Non-agriculture 3.67
Total 2.70
Sindh Landless 4.97
Under 5 Acres 2.61
5 to under 12.5 Acres 3.68
12.5 to under 35 Acres 1.98
35 to under 55 Acres 1.41
55 and above Acres .00
Non-agriculture 3.38
Total 3.65
NWFP Landless 4.58
Under 5 Acres 1.93
5 to under 12.5 Acres 1.89
12.5 to under 35 Acres 1.61
35 to under 55 Acres .81
55 and above Acres .19
Non-agriculture 2.87
Total 2.59
Balochistan Landless 2.17
Under 5 Acres 1.67
5 to under 12.5 Acres .76
12.5 to under 35 Acres .75
35 to under 55 Acres .19
55 and above Acres .00
Non-agriculture 2.30
Total 1.84
Pakistan Landless 3.83
Under 5 Acres 1.75
5 to under 12.5 Acres 1.94
12.5 to under 35 Acres 1.22
35 to under 55 Acres 1.10
55 and above Acres .61
Non-agriculture 3.41
Total 2.84
Source: Authors' computation from primary data of HIES 2001-02.
Table 6
Percent Distribution of Households by Landholdings
Rural
Landless 10.36
Under 5 Acres 18.23
5 to under 12.5 Acres 9.66
12.5 to under 35 Acres 3.87
35 to under 55 Acres 0.64
55 and above Acres 0.37
Non-agriculture 56.87
Total 100.00
Source: Authors' computation from primary data of HIES 2001-02.
Table 7
Percent Distribution of Owned Lands, by per Capita
Consumption Quintiles, by Province
Q1 Q2 Q3
Punjab Landless 6.9 7.0 5.5
Under 5 Acres 9.9 16.3 15.7
5 to under 12.5 Acres 4.3 4.5 7.3
12.5 to under 35 Acres 1.1 1.4 2.2
35 to under 55 Acres .4 .1
55 and above Acres .1 .3
Non-agriculture 77.4 70.7 68.9
Total 100.0 100.0 100.0
Sindh Landless 27.1 17.8 17.3
Under 5 Acres 4.9 6.0 6.0
5 to under 12.5 Acres 8.8 5.9 7.2
12.5 to under 35 Acres 2.0 3.6 2.6
35 to under 55 Acres .3 .7
55 and above Acres .2 .3 .3
Non-agriculture 56.9 66.4 65.9
Total 100.0 100.0 100.0
NWFP Landless 13.6 9.0 6.4
Under 5 Acres 22.4 28.0 36.2
5 to under 12.5 Acres 3.3 4.3 5.3
12.5 to under 35 Acres 1.3 .5 1.1
35 to under 55 Acres .3
55 and above Acres .1
Non-agriculture 59.4 57.7 51.0
Total 100.0 100.0 100.0
Balochistan Landless 8.5 10.8 5.2
Under 5 Acres 2.9 1.9 1.9
5 to under 12.5 Acres 4.7 8.6 12.7
12.5 to under 35 Acres 2.6 8.2 10.1
35 to under 55 Acres .3 .4
55 and above Acres .2 .5
Non-agriculture 81.1 70.3 64.3
Total 100.0 100.0 100.0
Pakistan Landless 12.6 10.0 8.3
Under 5 Acres 10.4 15.3 15.8
5 to under 12.5 Acres 5.2 5.0 7.3
12.5 to under 35 Acres 1.4 2.1 2.5
35 to under 55 Acres .3 .1 .2
55 and above Acres .1 .1 .3
Non-agriculture 70.1 67.5 65.6
Total 100.0 100.0 100.0
Q4 Q5 Total
Punjab Landless 5.6 3.6 5.4
Under 5 Acres 15.8 14.0 14.5
5 to under 12.5 Acres 9.8 9.9 7.7
12.5 to under 35 Acres 3.7 4.7 2.9
35 to under 55 Acres .3 1.2 .5
55 and above Acres .3 .6 .3
Non-agriculture 64.5 66.1 68.7
Total 100.0 100.0 100.0
Sindh Landless 11.2 4.3 13.9
Under 5 Acres 4.5 1.6 4.3
5 to under 12.5 Acres 6.1 3.9 6.0
12.5 to under 35 Acres 2.4 2.9 2.7
35 to under 55 Acres .6 1.2 .6
55 and above Acres .1 .8 .4
Non-agriculture 75.0 85.4 72.0
Total 100.0 100.0 100.0
NWFP Landless 5.5 1.4 7.4
Under 5 Acres 32.4 17.9 28.0
5 to under 12.5 Acres 5.5 6.7 5.0
12.5 to under 35 Acres 1.7 2.3 1.3
35 to under 55 Acres .7 .2
55 and above Acres .4 .1
Non-agriculture 54.9 70.7 58.0
Total 100.0 100.0 100.0
Balochistan Landless 3.2 1.8 5.8
Under 5 Acres 4.1 2.0 2.5
5 to under 12.5 Acres 13.7 11.3 10.6
12.5 to under 35 Acres 9.6 5.8 7.6
35 to under 55 Acres 1.4 .4 .5
55 and above Acres .9 .3
Non-agriculture 67.2 78.8 72.7
Total 100.0 100.0 100.0
Pakistan Landless 6.8 3.5 7.7
Under 5 Acres 14.6 10.8 13.3
5 to under 12.5 Acres 8.6 8.2 7.1
12.5 to under 35 Acres 3.4 4.1 2.9
35 to under 55 Acres .4 1.1 .5
55 and above Acres .2 .6 .3
Non-agriculture 66.0 71.7 68.3
Total 100.0 100.0 100.0
Source.' Authors' computation from primary data of HIES 2001-02.
Table 8
Land Inequality by Province
Land Owned (Acres) Punjab Sindh NWFP
Maximum 905 200 75
Mean 8.2493 12.4086 3.5637
Standard Deviation 31.0081 17.9607 5.9887
Coefficient of
Variation 3.7589 1.4474 1.6805
Gini (Land Owned) 0.6339 0.5072 0.5893
Gini (Expenditure) 0.3099 0.3082 0.2684
Land Owned (Acres) Balochistan Pakistan
Maximum 80 905
Mean 13.4157 8.1539
Standard Deviation 11.0927 26.0994
Coefficient of
Variation 0.8268 3.2008
Gini (Land Owned) 0.3761 0.6151
Gini (Expenditure) 0.2314 0.3067
Source: Authors' computation from primary data of HIES 2001-02.
Table 9
Percent of Poor by Main Employment Status
Rural
Share Cropper 47.84
Contract Cultivator (Lessee on Fixed Rent) 34.83
Live Stock only 34.51
Owner Cultivator 25.03
Non-agriculture 44.01
Source: Authors' computation from primary data of HIES 2001-02.
Table 10
Distribution of Income by Household Head for Landless Household
(Rural)
Occupation of Head of Household
Landless
Income as Employer, Employer, Self-
Per Capita % of Employing Employing employed
Emp. Total Less than 10 or More
Quintiles Income 10 Persons Persons
Q1 74.09 1.19 2.00 25.49
Q2 66.73 .85 .10 23.85
Q3 59.18 1.19 .29 24.81
Q4 52.98 1.67 0.23 28.61
Q5 45.56 4.20 1.79 26.70
Occupation of Head of Household
Paid Unpaid Share
Per Capita Employee Family Cropper
Emp. Worker
Quintiles
Q1 51.14 43. 14.78
Q2 55.40 .79 12.45
Q3 54.93 1.68 9.86
Q4 50.60 .91 9.95
Q5 52.19 1.70 5.68
Occupation of Head of Household
Contract Livestock Total
Per Capita Cultivator Only
Emp.
Quintiles
Q1 2.96 3.98 100
Q2 3.16 3.40 100
Q3 3.52 3.73 100
Q4 4.42 3.61 100
Q5 2.82 4.92 100
Source: Authors' computation from primary data of HISS 2001-02.