Magnitude of the housing shortage in Pakistan.
Ghaus, Aisha ; Pasha, Hafiz A.
This paper analyses trends in housing conditions in Pakistan.
Various indicators of housing consumption like household size, persons
per room, real rents per capita, etc., are quantified for the period
from 1960 to 1980, and their apparently contradictory signals are
highlighted. It is demonstrated that the approach adopted to date in
Pakistan to quantify the magnitude of the housing shortage is too
simplistic and could lead to wrong conclusions. As such, an alternative
methodology is developed which highlights a significant improvement in
housing conditions over time and a relatively slow growth in the housing
shortage. A series of policy implications are then derived for the
development of the housing sector.
INTRODUCTION
There is a widely held perception in Pakistan that, although
shelter is one of the basic needs, the country is not adequately coping
with its housing requirements. One statistic which is usually quoted to
support this contention is that growth in the number of housing units
has lagged behind the growth of population and that, consequently, the
size of the housing deficit has increased over time. Between the two
Housing Censuses of 1960 and 1980, while the population grew annually at
the rate of 3 percent, the number of housing units increased by 2.1
percent. (1) This has meant that households have become bigger during
the period when, as a consequence of modernisation and urbanisation, the
trend should have been towards more nuclear families, implying a
reduction in the household size. It has been argued that the process of
new household formation has been retarded due, first, to supply
constraints in the housing market. The IBRD (1987), for example, has
emphasized that the relatively slow rate of development of residential
plots in the cities and the lack of municipal infrastructure have
limited the construction of new housing units. Second, on the demand
side, inflation in the prices of building materials has reduced levels
of affordability for housing and implied, on the one hand, that
residential densities have increased and, on the other hand, that slums
(katchiabadis) have taken up a progressively higher share of the urban
population.
The alleged decline in levels of consumption of housing has,
however, taken place during a period of rapid growth in real per capita
income. During the last 26 years, real per capita income has more than
doubled. Therefore, either there has been a major deterioration in the
distribution of income (2) and the share of the population below the
poverty line has increased or housing is an inferior good in the
consumption basket. Alternatively, the relative price of housing may
have increased significantly, with demand for housing being
price-elastic. (3) In the absence of one or more of these factors, it is
difficult to reconcile the finding that housing consumption has declined
simultaneously with the large growth in incomes.
The objective of this paper is to analyse this apparent
contradiction. In the process, a number of indicators of housing
consumption are identified and their trends over time are quantified in
Section II. This is followed by a review in Section III of the estimates
made of the magnitude of the housing shortage in Pakistan. This review
reveals that the approach adopted to date [Zaki (1981)] is somewhat
simplistic, and that an alternative strategy has to be developed to
properly quantify the size of the housing deficit. As such, a different
methodology for an analysis of the housing shortage is presented in
Section IV. Results obtained by applying this approach are presented in
Section V. Implications of the analysis are highlighted in Section VI,
followed by a brief statement of conclusions in Section VII.
II. INDICATORS OF HOUSING CONSUMPTION
(i) Average Household Size: As shown in Table 1, the average number
of persons per housing unit (household size) has increased from 5.5
persons in 1960 to 6.5 persons in 1980. This is taken as a clear
indicator of the fact that housing consumption has declined over time.
However, larger households may not necessarily reflect constraints to
new household formation, as these may also be a natural consequence of
various demographic factors.
The impact of various demographic factors is referred to by Zaki
(1981)as the "habitation density" effect. It captures the
increase in household size due to the presence of more unmarried
members, resulting from a rise in the age of marriage, (4) and of more
surviving children, as a consequence of an improvement of the infant
mortality rate (5) in the absence of any significant decline in the
birth rate.
An increase in the number of married adults per household is the
best indicator of a decline in the rate of new household formation,
caused perhaps largely by the housing shortage. However, the total
impact of this phenomenon also includes the increase in household size
due to the presence of children of the additional married adults living
in a household. As such, the overall increase in household size which
can be attributed to postponement of new household formation is given
both by an increase in the married adults and the additional children of
such married couples.
Table 2 presents changes in household composition and size due to
different factors. The table shows that the increase in household size
resulting from a reduction in the rate of new household formation is
0.520 in the rural areas and 0.699 in the urban areas. For the country
as a whole, it is 0.577. The housing pressure, according to this
analysis, appears to be stronger in the urban areas. However, the share
of the increase in household size due to postponement of household
formation in the overall change in household size is 56 percent in the
rural areas, 53 percent in the urban areas, and 55 percent for Pakistan
as a whole. Therefore, it appears that there would have been a
significant increase in household size between 1961 and 1981, even in
the absence of a housing constraint, due to the "habitation
density" effect. On the average, it is estimated that demographic
factors would have increased the household size by about 0.469 over the
twenty year period.
(ii) Rooms per Housing Unit: Another important indicator of housing
consumption is the average number of rooms per housing unit. In 1960,
the average number of rooms per housing unit/household was 1.7.
According to the Housing Census 1980, this has increased to 1.9 (Table
1). The 1980 Census used the same definition of households as the 1960
Census, but the kitchens were not counted as rooms in 1980, whereas they
were counted as rooms in 1960. Accordingly, we have adjusted the number
of rooms in 1980 by a factor of 50 percent of the number of households
in the urban areas and 20 percent in the rural areas (6) to make it
comparable with the 1960 definition. The adjusted measure of rooms per
housing unit is 2.2 for Pakistan as a whole, with a bigger increase in
the urban areas.
Also, in 1960, 18.7 percent of the urban housing units in Pakistan
had three rooms or more. This percentage increased to 25.9 percent in
1980, which points to the fact that the size of housing units has
generally increased over time, and that the growth is not concentrated
only in the case of upper-income dwelling units.
(iii) Number of Persons per Room: The above indicators show that
both the household size and the housing unit size have been growing over
time. It is, therefore, necessary at this stage to see which of the two
has been growing faster. If household size has been growing
substantially faster than housing unit size, it indicates that
habitation densities have increased and congestion in housing has been
growing in Pakistan. According to Table 1, the ratio of persons per room
for Pakistan as a whole has, more or less, remained the same between
1960 and 1980. It has increased for the rural areas but has remained,
more or less, constant for the urban areas.
These estimates, however, need to be adjusted by the inclusion of
kitchens in the total number of rooms in 1980. The adjustment reveals
that the number of persons per room has actually declined in Pakistan
from 3.3 persons in 1960 to 3.0 persons in 1980. The decline is much
more dramatic in the urban areas from 3.1 persons to 2.6 persons, as
compared to the rural areas.
(iv) Share of Owner-occupied Houses: Another indicator of the
improvement in housing consumption and of increased rather than reduced
housing affordability is the rise in the share of owner-occupied houses
between 1960 and 1980. For example, in 1960, 48 percent of the housing
units in the urban areas were owner-occupied whereas this percentage
increased to 68 percent in 1980. (7)
(v) Per Capita Real Rents: Monthly real per capita rents, which are
an important composite indicator of real per capita housing consumption,
have been increasing over time both in the urban and the rural areas of
Pakistan, as shown in Table 1. Data from the various Household Income
and Expenditure Surveys (Various Issues) carried out by the Statistics
Division reveal that at 1969-70 prices, these increased from Rs 2.49 in
1960 to Rs 6.45 in 1980. (See Table I).
Altogether, it is difficult to conclude that the levels of housing
consumption have declined between 1960 and 1980. While the number of
persons per housing unit has increased and a higher proportion of
married couples has had to defer household formation, simultaneously
housing units have also become larger. If proper adjustments are made
for definitional differences between the two Censuses, it appears, in
fact, that the availability of living space per person has improved as
indicated by the decline in the number of persons per room. Also, a
higher proportion of the population has been able to afford the
acquisition of its own housing. Further, expenditure on rents (market
plus imputed) per capita has increased significantly in real terms both
in the rural and the urban areas.
Given the contrasting signs from the various indicators of the
trend in housing consumption, it is not immediately obvious what has
happened to the size of the housing shortage in the country in relation
to some desired minimum standard.
III. MAGNITUDE OF THE HOUSING SHORTAGE
Various attempts have been made to quantify the magnitude of the
housing shortage in the country. The government publishes its annual
estimate of the housing shortage in the Pakistan Economic Survey (n.d.)
the latest being 3 million housing units in 1985-86, with 1.6 million in
the rural areas and 1.4 million in the urban areas. Substantive work has
also been done by Zaki (1981), who has estimated the national housing
shortage for the year 1980. By taking the habitation density level in
1960 as the benchmark, i.e., 5.5 persons per housing unit, he concludes
that in 1980 there was a housing shortage of approximately 3.0 million
housing units, with 2.5 million in the rural areas of the country.
There are numerous problems with the approach of quantifying the
extent of the housing shortage in terms of the number of housing units.
First, when housing units are becoming larger, allowance has to be made
not only for the number of housing units but also for the size of units.
Otherwise, the gap will be overstated. Therefore, the consumption
standard has to be specified in terms of the living space per person.
The empirical evidence available in Pakistan, as highlighted in the
Appendix, demonstrates that the number of rooms in a housing unit is a
good proxy for the living space within it. As such, the density standard
can be defined in terms of persons per room.
Second; the housing deficit cannot be quantified by simply
comparing the average observed density with the standard. This does not
allow for the underlying variation in density among households. The
method adopted by Zaki, if applied to quantifying the extent of poverty,
is tentamount to saying that if the average household income of a
country is above the notional poverty line, then there are no poor
households in the country. Therefore, this relatively simple approach
could lead to significant biases in the estimate of housing shortage. It
is not surprising, then, that Zaki assumes that there was no housing
shortage in 1960. In fact, it is likely that a significant proportion of
the households were living in overcrowded conditions even in that year.
There is a need, therefore, to look at the joint distribution of housing
units both in terms of the number of persons and rooms, and to identify
that part of this distribution where access to living space appears to
be below the desired minimum level. This is the essential feature of the
methodology developed in the next section.
IV. ALTERNATIVE METHODOLOGY FOR ESTIMATION OF HOUSING SHORTAGE
We designate the number of housing units with 'r' rooms
and 'm' persons in a particular year as N(r, m). Then the
total population, P, enumerated by the census and the housing stock, H,
in rooms are given by:
P = [summation over (r)] [summation over (m)] mN(r, m) ... ... ...
... (1)
and
H = [summation over (r)] [summation over (m)] rN(r, m) ... ... ...
... (2)
Given r and m, the persons per room or habitation density, d, is
d = m / r ... ... ... ... (3)
A housing unit is overcrowded if d > [d.sup.*] where [d.sup.*]
is the density standard. The population, [bar.P], living in overcrowded
conditions can be derived as
[bar.P] = [summation over (r)] [summation over (m)] mN(r, m), for
values of r and m such that d > [d.sup.*] ... ... (4)
and the extent o/overcrowding, E, is given by
E = [bar.P] / P ... ... ... ... (5)
The actual number of rooms with overcrowding is represented by
[bar.A], with
[bar.A] = [summation over (r)] [summation over (m)] rN(r, m), for
values of r and m such that d > [d.sup.*] ... ... (6)
The minimum number of rooms, [bar.H], required to accommodate the
population living in overcrowded conditions, at a density of [d.sup.*],
is given by
[bar.H] = [bar.P] / [d.sup.*] ... ... ... ... (7)
The shortage of rooms, [bar.D], is [bar.H] - [bar.A].
The intensity of overcrowding, I, can then be derived as
I = [bar.D] / [bar.A] ... ... ... ... (8)
and the magnitude of the housing shortage, S, in relation to the
existing stock as
S = [bar.D] / H ... ... ... ... (9)
The above methodology can be used for deriving the extent and
intensity of overcrowding, and the magnitude of the housing shortage for
the country as a whole and for the rural and urban areas separately.
V. RESULTS
Both the Housing Censuses of 1960 and 1980 respectively give the
joint distribution of housing units (8) in terms of persons and rooms.
Therefore, the above methodology can be applied to the data. Three
density standards in terms of persons per room have been used. The first
is 3 1/4, which is very close to the actual density in 1960. The other
two standards are chosen so as to enable sensitivity analysis of the
magnitude of homing shortage with respect to the density standard. As
such, one standard is above 3 1/4 at 3 1/2 and the other below at 3.
Chishti and Rehman (1988) suggests that habitation density should not
exceed 2 persons per room. This is, however, considered as
unrealistically low for Pakistan, given its level of development.
A number of key conclusions emerge from the analysis. First,
contrary to Zaki's assumption, over-crowding existed even in 1960.
In fact, with a density standard of 3 1/4 persons per room, as shown in
Table 3, almost 69 percent of the population lived in overcrowded
conditions in 1960. The extent of overcrowding was significantly higher
in the rural areas, at 72 percent. Since then, there has been a decline
in the share of population living in overcrowded conditions. In 1980,
the share of such population in Pakistan was estimated to be 63 percent.
Second, the analysis reveals that while the extent of overcrowding
has declined somewhat, there has been a more dramatic fall in the
intensity of overcrowding, i.e., percentage of excess of people (above
the density standard) living in overcrowded rooms. It stood at over 80
percent in 1960. By 1980 it had decreased to 59 percent. As demonstrated
by Table 3, there has been a more rapid decline in the intensity of
overcrowding in the urban areas of the country. Therefore, not only is a
smaller share of population in the 80s living in homing units with
habitation densities exceeding the desired norm, but also the divergence from this standard is less.
Third, the housing deficit measured in rooms has increased from 4
million in 1960 to 6.1 million in 1980. However, the magnitude of the
shortage (number of additional rooms required to meet the defined
standard), as a proportion of the housing stock, has declined
significantly from 32 percent to 20 percent. In the urban areas, the
decrease is somewhat more pronounced, from 27 percent to 11 percent, as
compared to the rural areas where the fall is from 33 percent to 25
percent. Overall, the per capita housing shortage has diminished by 24
percent between 1960 and 1980.
Fourth, the results also indicate that the bulk, 79 percent, of the
housing shortage in 1980 was in the rural areas. This is close to
Zaki's estimate of 83 percent and substantially higher than the
government's estimate of 53 percent. Therefore, housing conditions
appear to be relatively worse in the villages, and any policy designed
to reduce the backlog in the housing stock will have to be largely
oriented towards the rural areas.
Fifth, estimates of the magnitude of housing shortage appear to be
very sensitive to the assumed magnitude of the density standard. With a
target density of 3, the shortage in 1980 increases to 6.7 million rooms
and with a standard of 3 1/2 it falls to 4.9 million rooms. Therefore,
planning in the housing sector will have to be based on a careful
specification of the desired habitation density level.
A comparison can also be made of our estimate of the magnitude of
the housing shortage with that of Zaki for 1980. Using 1960 densities as
the standard, our estimate is 20 percent, while that of Zaki is 23
percent of the housing stock. The divergence between the estimates is
due to two factors which tend to operate in opposite directions. The
first adjustment to Zaki's approach is to allow for the household
size distribution among housing units, with a housing unit being
considered overcrowded if the number of persons living in it exceeds the
1960 average household size of 5.5. Such an adjustment actually implies
a much larger housing shortage in 1980, of 4.6 million housing units (9)
as compared to the Zaki estimate of 3 million. The second factor relates
to the size of housing units, which has tended to increase in Pakistan
over time. Allowing for this trend leads to a substantial reduction in
the shortage. The net effect of these two factors is a smaller magnitude
of the housing shortage in 1980.
Further, it needs to be emphasised once again that, contrary to
Zaki's claims that there was no housing shortage in 1960, our
analysis reveals not only that there was" a sizeable shortage in
1960 but also that the shortage as a proportion of the housing stock has
tended to decline over time. Therefore, the two approaches lead to
fundamentally different conclusions. According to Zaki, the housing
shortage has grown rapidly whereas our results highlight a relatively
slow growth in the absolute size of the housing deficit in the country.
VI. POLICY IMPLICATIONS
A number of policy implications emerge from the analysis, as
follows:
Building on Existing Policies
The success that the country has had in containing the growth in
the housing deficit, and thereby reducing the size of the per capita
shortage, can be attributed at least partially to the policies adopted
for the development of the housing sector, especially from the mid-70s
onwards. These include, first, the policy of relatively rapid
development of new plots for housing, largely in the public sector. As a
consequence, between 1978-79 and 1982-83 (Fifth Plan period), the
average annual number of new plots developed was 57,000, while in the
Sixth Plan period it is 88,000. This compares with an average of less
than 24,000 plots during the non-plan period, 1970-71 to 1977-78, and
16,000 plots during the Third Plan period.
Second, allocations for institutional housing credit, primarily
through the House Building Finance Corporation (HBFC), have increased
rapidly. At 1975-76 prices, the real credit availability per capita was
Rs 2.8 in 1974-75. This increased to Rs 8.1 by 1986-87. Third, the
supply (primarily through an expansion in domestic production capacity)
position for the major building materials has improved substantially.
For example, the domestic production of cement has increased from 3.2
million tons in 1975-76 to 5.0 million tons in 1985-86. This has implied
that during the 80s, inflation in building materials prices has lagged
behind the overall price index. (10)
Therefore, if housing conditions are to continue improving, then
the above policies will have to be sustained and further reinforced. In
particular, an emphasis will have to be placed on land development in
the cities at affordable rates to compete effectively with katchi
abadis. Credit allocations will have to be increased further to make
available more housing finance, especially to the lower income groups,
at perhaps moderately subsidized rates. In addition, greater priority
will have to be attached to an expanded provision of basic municipal
infrastructure for bringing about improvements in quality of life.
Priority for Rural versus Urban Housing
Traditionally, greater priority has been attached in Pakistan for
developing the housing sector in the urban areas largely to accommodate
the faster growing population owed to migration there. However, the 1980
Census reveals that in all the housing consumption indicators the urban
areas fare better than the rural areas. For example, habitation
densities are higher in the latter while real rents per capita are
lower. Also, the rate of improvement in these indicators is slower. It
is not surprising, therefore, that our analysis indicates that the bulk
of the housing shortage is in the rural areas. (11)
It appears that the time has come now for a reorientation in
policy, with greater priority being attached to rural housing as
compared to urban housing. The Seven Maria Scheme represents a first
step in this regard. This will have to be supplemented by measures for
the development of a rural housing credit market and for expanding the
supply of rural building materials and infrastructure.
Improvement versus Construction Financing
Our analysis has indicated that the intensity of overcrowding has
declined substantially over time. This means that a significant
proportion of the households living in overcrowded conditions is only
marginally below the minimum standard for housing consumption. For such
households, a relatively small enhancement in living space could
eliminate overcrowding.
This conclusion has a basic implication for housing finance policy.
It highlights the need for relatively more funds for additions or
improvements to the existing units. This will require more though
smaller loans, and the possibility of more than one loan over time for a
particular household.
VII. CONCLUSIONS
This paper has analysed trends in housing conditions in Pakistan
over the period 1960 to 1980. The analysis reveals a mixed trend in
housing consumption over time, with some indicators highlighting an
improvement while others point to some deterioration in levels of
housing consumption. It is not immediately obvious, therefore, what has
happened to the size of the housing shortage in the country.
A new methodology for the quantification of housing shortage has
been developed in this paper which incorporates the fact that not only
the number of housing units but also their size could change in response
to the growth in population and incomes. This is done through an
examination of the joint distribution of housing units both in terms of
persons and rooms, as well as identification of the part of this
distribution where access to living space appears to be below some
desired norm.
The basic conclusions reached by the application of the alternative
methodology are that housing conditions have tended, in fact, to improve
significantly over time, especially in the urban areas, and that,
consequently, the per capita housing shortage has declined by over 24
percent between 1960 and 1980. Evidence on the level of housing
investment after 1980 tends to further substantiate these conclusions
[see Pasha and Ghaus (1988)].
A number of policy implications are derived to further reinforce
these trends. These include a higher priority for rural housing,
enhanced availability of housing finance, higher allocations of funds
for land development (especially small, affordable plots in larger
cities), and for greater provision of basic municipal infrastructure. A
recommendation is also made for diversification of housing credit to
include financing of additions to the existing units.
Finally, a caveat is in order here. The housing shortage has been
seen only in its quantitative dimension. Clearly, there is a need also
to specify minimum standards of quality. However, the view taken is that
the provision of adequate living space is a more basic need. Removal of
this gap is, therefore, likely to precede any major attempt at
upgradation in the quality of the housing stock in the country.
Appendix
NUMBER OF ROOMS AS AN INDICATOR OF LIVING SPACE
The use of the number of rooms as an indicator of the living space
in a housing unit depends upon the existence of a proportional relationship between this indicator and living space. Also to the extent
that rents rise proportionally with living space, the same conclusion
can be reached if the rents and the number of rooms are proportionately related to each other. These relationships can be tested empirically in
the Pakistani context.
Specifically the hypothesis can be stated as:
ln R = [[beta].sub.0] + [[beta].sub.1] ln N + [epsilon]
or ln CA = [[beta]'.sub.0] + [[beta]'.sub.1] ln N +
[epsilon]'
where R = rent, CA = covered area and N = number of rooms.
A proportional relationship exists if [[beta].sub.1] or
[[beta]'.sub.1] is not significantly different from unity.
The Housing, Economic and Demographic Survey 1973 (1989) gives
information on rents (which is a composite indicator of housing
consumption) and the number of rooms in a housing unit. This enables
estimation of the relationship, if any, between the rents and the size
of the housing unit as reflected by the number of rooms. Estimation (see
Table A-1) shows that [[beta].sub.1] is not significantly different from
1. This implies a proportional relationship between the rents and the
number of rooms.
Table A-1
Regression Results
Independent
Dependent Variable Variable [[beta].sub.a] [R.sup.2]
A. Log of Rent Log of Rooms
All Pakistan 1.11 (11.8) 0.95
Urban 1.11 (11.8) 0.95
Rural 1.12 (10.5) 0.95
B. Log of Covered Area Log of Rooms
Karachi 0.98 (10.0) 0.92
Note: Figures in parenthesis are t-statistics.
Also, data on covered area and the number of rooms in a housing
unit is available for a sample (1) of housing units in the city of
Karachi. A proportional relationship is again reflected between the two
(see Table A-1). It can, therefore, be concluded that the number of
rooms is a good indicator of living space.
(1) A Socio-economic Survey of 6285 households in Karachi was
carried out in 1987-88 by the Applied Economics Research Centre (AERC)
on behalf of the Master Plan and Environmental Control Department,
Karachi Development Authority.
REFERENCES
Applied Economics Research Centre (1988) Report on the Housing and
Housing Users' Survey. Karachi: University of Karachi. (Research
Report)
Applied Economics Research Centre (1989) Housing and Housing
Users' Survey of Rural Pakistan. Karachi: University of Karachi.
(Research Report)
Chishti, Salim, and Shakila Rehman (1988) Population Dynamics of
Karachi. Karachi: Master Plan and Environmental Control Department,
Karachi Development Authority. (Unpublished Report)
Pakistan, Government of (n.d.) Pakistan Economic Survey. Islamabad:
Economic Affairs Division, Ministry of Finance.
Pakistan, Government of (Various Issues) Household Income and
Expenditure Survey, 1963 and 1984-85. Islamabad: Bureau of Statistics.
Pakistan, Government of (Various Issues a) Housing Census, 1960 and
1980. Islamabad: Population Census Organization.
Pakistan, Government of (Various Issues b) Population Census, 1961
and 1981. Islamabad: Population Census Organization, Statistics
Division.
Pakistan, Government of (1988) The Seventh Five Year Plan, 1988-93
and Perspective Plan, 1988-2003. Islamabad: Planning Commission.
Pasha, Hafiz A., and Aisha Ghaus (1988) The Projected Level of
Housing Investment in Pakistan during the Seventh Plan Period: 1988-89
to 1992-93. Karachi: University of Karachi, Applied Economics Research
Centre. (Working Paper)
The World Bank (1987) Shelter Mission Report. Washington, D. C.:
The World Bank.
Zaki, M. Javed Akbar (1981) Housing Conditions in Pakistan,
1960-80. The Pakistan Development Review 20 : 2.
(1) According to the Housing Census 1960: "A housing unit is a
structurally separated and independent place of abode". According
to the Housing Census 1980: "Housing unit means a residential place
inhabited by one household". We have used the 1980 definition to
derive the growth rate in the number of housing units. This is
tantamount to working with the number of households in both the
Censuses.
(2) Gini coefficient of household incomes for Pakistan was 0.39 in
1963-64 and has remained unchanged at 0.39 in 1984-85 [See 7th Five Year
Plan 1988-93 and Perspective Plan 1988-2003, Planning Commission,
Government of Pakistan].
(3) The index of housing and household operations has increased
less rapidly than the overall consumer price index. At 1975-76 prices,
the housing index which was 40.01 in 1960-61 increased to 198.6 in
1984-85 whereas the consumer price index increased from 33.67 to 224.21
during the corresponding period. The price index of building materials
has increased to 240 in 1984-85 at the base of 1975-76. The absolute
price elasticity of housing demand in Pakistan is about one. It is
-0.976 with respect to current income and -1.035 with respect to
permanent income. [See Pasha and Ghaus (1988)].
(4) Proportion of the married in the age group 14-24 has
substantially declined in Pakistan between 1960 and 1980. In 1960, 15.9
percent of the males and 52.8 percent of the females in age group 15-19
years were married. These proportions had declined to 7.4 percent and
29.1 percent respectively by 1980. Also, in age group 20-24, the
proportion of married males has declined from 45.3 percent to 34.7
percent, and for females from 86.2 percent to 72.4 percent during the
same period.
(5) Infant mortality rate in Pakistan has declined from 126 in
1960-65 to 112 in 1984-85, whereas the fertility rate has declined only
marginally from 6.12 in 1963-64 to 5.9 in 1984-85. [See Chishti and
Rehman (1988)].
(6) According to the 1980 Housing Census, approximately 50 percent
of the urban housing units had kitchens; whereas 20 percent of the rural
housing units were reported to have kitchens in 1973, according to the
Housing, Economic and Demographic Survey, 1973.
(7) As indicated by the Table below, the pattern of increase in
owner-occupied housing units is observed irrespective of the size of the
properties.
Share of Owner-occupied Properties in Total Urban Housing Units
(1960) (1980)
1 Room 42 61
2 Rooms 50 69
3 Rooms 59 75
4 Rooms 61 79
5 Rooms 64 80
Above 5 Rooms 63 78
Therefore, the increase is not concentrated only at the lower end
due to the formation of katchi abadis.
(8) Data in the 1960 Housing Census is given at the household
level. However, since the 1980 Census takes the housing unit and the
household as being analogous, the two Housing Censuses effectively give
the information at the household level and, therefore, can be compared
directly.
(9) Given the distribution of housing units with 'm'
persons living in them, housing units are considered overcrowded where m
> [d.sup.*], [d.sup.*] indicates the minimum density standard of 5.5
persons per housing unit used by Zaki (1981). In notional terms, the
number of overcrowded housing units, [bar.N], is given by
[bar.N] = [summation over (m)] N(m) where m > [d.sup.*]
Population living under overcrowded conditions, [bar.P], is given
by
[bar.P] = [summation over (m)] mN(m) where m > [d.sup.*]
(10) Minimum number of housing units required to accommodate
[bar.P] is given by Index (1975-76 = 100) of building material prices in
1985-86 was 181.2 while the general prices was 217.4, implying less
inflation in the former.
[bar.R] = [bar.P]/[d.sup.*]
Finally, shortage of housing units is given by: [bar.S] = [bar.N] -
[bar.R]
(11) It needs to be emphasized that these conclusions are reached
when the housing shortage is seen purely in terms of living space within
rooms. However, in rural areas, outdoor space is sometimes used for
sleeping and other activities (cooking, washing, etc.). There is the
evidence from the AERC Study (1989) that plot sizes are roughly twice as
large in the rural areas of Pakistan as in the urban areas for the same
household income level. Therefore, the scope for utilization of outdoor
space is greater in the former.
AISHA GHAUS and HAFIZ A. PASHA*
* The authors are Staff Economist and Joint Director, respectively,
at the Applied Economics Research Centre, University of Karachi,
Karachi-32 (Pakistan).
Table 1
Indicators of Housing Consumption in the Rural and Urban
Areas of Pakistan
Rural Urban
Indicators 1960 1980 1960 1980
No of Persons per Housing Unit
(Household Size) According to
Housing Census 5.4 6.4 5.8 6.7
Population Census 5.4 6.3 5.7 7.0
No. of Rooms per Housing Unit
Unadjusted 1.6 1.8 1.8 2.2
Adjusted 1.6 2.0 1.8 2.6
Persons per Room
Unadjusted 3.3 3.6 3.1 3.2
Adjusted 3.3 3.2 3.1 2.6
Percentage of All Units
Owner-occupied 79.7 82.6 47.7 67.7
Per Capita Monthly Real
Rent (Rs) at 1969-70 Prices 1.9 2.5 4.8 8.9
Total
Indicators 1960 1980
No of Persons per Housing Unit
(Household Size) According to
Housing Census 5.5 6.5
Population Census 5.5 6.5
No. of Rooms per Housing Unit
Unadjusted 1.7 1.9
Adjusted 1.7 2.2
Persons per Room
Unadjusted 3.2 3.3
Adjusted 3.2 3.0
Percentage of All Units
Owner-occupied 72.4 78.4
Per Capita Monthly Real
Rent (Rs) at 1969-70 Prices 2.5 6.5
Sources: (i) Housing Census, 1960 and 1980, Population Census
Organization, Government of Pakistan, Islamabad.
(ii) Population Census, 1961 and 1981, Population Census
Organization, Government of Pakistan, Islamabad.
(iii) Household Income and Expenditure Surveys, 1963,
1984-85, Federal Bureau of Statistics, Government
of Pakistan, Islamabad.
Table 2 Changes in Household Composition and Size, 1961 to 1981
Average Change per
Household (No.)
Rural Urban Total
Children 0.543 0.668 0.578
Adults 0.386 0.646 0.468
Unmarried 0.234 0.381 0.282
Married 0.253 0.341 0.281
Widowed and Divorced -0.101 -0.076 -0.095
Total
Average Increase in Household Size 0.929 1.314 1.046
Increase because of Postponement of 0.520 0.699 0.577
New Household Formation (a) (56) (53) (55)
Increase because of Demographic 0.409 0.615 0.469
Reasons (b) (44) (47) (45)
Source: Population Censuses, 1961 and 1981.
Figures in brackets represent percentages of the total.
(a) According to the 1961 Census, the proportion of children attributed
to the additional married couples living in the household is equal to
1.055 in the rural areas, 1.050 in the urban areas, and 1.053 for
Pakistan as a whole. Therefore, the increase due to postponement of new
household formation is the additional married persons per household
plus their children.
(b) Corresponds to the average increase in household size minus the
increase due to postponement of new household formation.
Table 3
Magnitude of the Housing Shortage in Pakistan, 1960 and 1980
1960 (b)
Indicators
(a) Rural Urban Total
[d.sup.*] = 3
Population Living in
Overcrowded
Conditions ('000s) P 23638 6172 29810
Extent of Overcrowding (%) E 72.8 60.0 69.4
Shortage of Rooms ('000s) D 3785 1039 4824
Intensity of Overcrowding (%) I 92.4 100.2 94.4
Magnitude of Housing Shortage
(%) S 39.4 32.1 36.3
[d.sup.*] = 3 1/4
Population Living in
Overcrowded
Conditions ('000s) P 23486 6118 29604
Extent of Overcrowding (%) E 72.3 58.4 68.9
Shortage of Rooms ('000s) D 3176 882 4058
Intensity of Overcrowding (%) I 78.4 88.2 80.3
Magnitude of Housing Shortage
(%) S 33.1 27.3 31.6
[d.sup.*] = 3 1/2
Population Living in
Overcrowded
Conditions ('000s) P 22215 5958 28173
Extent of Overcrowding (%) E 68.4 56.9 65.6
Shortage of Rooms ('000s) D 2694 746 3440
Intensity of Overcrowding (%) I 73.7 78.0 74.6
Magnitude of Housing Shortage
(%) S 28.1 23.1 25.9
1980 (c)
Rural Urban Total
[d.sup.*] = 3
Population Living in
Overcrowded
Conditions ('000s) 41622 12955 54577
Extent of Overcrowding (%) 68.9 54.3 64.8
Shortage of Rooms ('000s) 5163 1541 6704
Intensity of Overcrowding (%) 59.2 55.5 58.4
Magnitude of Housing Shortage
(%) 27.3 16.6 23.5
[d.sup.*] = 3 1/4
Population Living in
Overcrowded
Conditions ('000s) 40589 12542 53131
Extent of Overcrowding (%) 67.2 52.6 63.1
Shortage of Rooms ('000s) 4834 1250 6084
Intensity of Overcrowding (%) 63.1 47.9 59.3
Magnitude of Housing Shortage
(%) 24.8 10.6 19.5
[d.sup.*] = 3 1/2
Population Living in
Overcrowded
Conditions ('000s) 37382 11903 49285
Extent of Overcrowding (%) 61.9 49.9 58.4
Shortage of Rooms ('000s) 4002 883 4885
Intensity of Overcrowding (%) 59.9 35.1 53.1
Magnitude of Housing Shortage
(%) 21.0 9.5 17.1
(a) Refer to Section N.
(b) 1960 figures are adjusted for population under enumeration
by a factor of 1.089.
(c) 1980 figures are adjusted to include kitchens.