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             \author[1]{OkeyinkaYetunde  Ronke}

             \affil[1]{  Ladoke Akintola University of Technology}

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\date{\small \em Received: 10 December 2015 Accepted: 4 January 2016 Published: 15 January 2016}

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\begin{abstract}
        


Socio -economic class may be defined as relatively permanent and homogenous division in a society into which individuals or families sharing similar values, life styles, interests and behaviours can be categorised. As such, information relating to socio -economic and cultural characteristics of citizens are vital information in the formulation of workable housing policies and planning of basic infrastructure and service delivery.This study examined the socio -economic characteristics of residents of multihabited houses in Ogbomoso, South West, Nigeria; the analysis is hinged on the fact that multihabited house is common in Ogbomoso city in Nigeria. This house type is synonymous with the poor and the low-income groups. A chi -square analysis to indicate the effects of each socio-economic variable on the choice of the housing typology was done.The data used for the analysis were derived from a survey of multihabited houses in the high and medium residential areas of Ogbomoso metropolis. Nine hundred and fifty five (955) multihabited houses and a household head each in a multihabited house represented the sample.

\end{abstract}


\keywords{housing, housing typology, multihabited house, policies, social status}

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\let\tabcellsep& 	 	 		 
\section[{Introduction}]{Introduction}\par
iterature and general survey of houses have noted that multihabited house form is a dominant house type in cities of developing countries  {\ref (Rakodi, 1995)}; \hyperref[b6]{(Okeyinka, 2007)}; \hyperref[b3]{(Majale and Tipple, 2007)}; \hyperref[b7]{(Okeyinka, 2016)}. One reason for the preponderance of the house type among other things is that, it is a form of housing which has been providing rental accommodation for the large population and the immigrant population in the rapidly expanding cities of developing countries. \hyperref[b2]{Gilbert (2008)} pointed out that one out of three urban dwellers across the globe (one billion people) are tenants and in major cities. Gilbert further observed that, though the importance of outright freehold ownership of property as a stimulant to investment in the maintenance and development is recognised, a large proportion of the lowest urban income groups in any society or culture are unable or unwilling to take on the responsibility and costs of the ownership of urban property. However, they are willing and able to meet the recurrent costs of renting accommodation. It has therefore been recommended that subsequent generation of housing policies, and strategies for their implementation must embrace a range of different programme and project approaches to support the housing policy set out by the World Bank -UN -Habitat joint cities Alliance in 2011 \hyperref[b17]{(Wakely \& Riley, 2011)}. The Alliance further supports the production of good quality public housing that includes socially controlled rental accommodation that is affordable by the poor who are unable or unwilling to invest in fixed -capital assets of urban property  {\ref (RSA 2012)}.\par
Multihabited house by its form is rooming whereby the building is divided into separate rooms where the room is the unit of accommodation. The house form allows independent life at low cost and sharing of services with a finite and known group. Majority of the low-income people and the poor in cities of developing countries rent a room or suites of room in rooming or courtyard houses. The house form has therefore been described as a way of dealing with poverty and the struggle for survival in an urban environment by the poor. Multihabited house form allows inexpensive accommodation and it costs little to build, it also suits traditional inheritance patterns of West Africans. Some of these factors are the reasons why the house type has been supporting rental accommodation among the poor.\par
Contemporary studies have shown the efficacy of rental housing especially from the private end as an inevitable housing option, especially for the urban poor \hyperref[b8]{(Ozo, 2012;}\hyperref[b5]{Mwangi, 2012;}\hyperref[b0]{Amenyah and Fletcher, 2013)}. As such, renting in a multihabited house which could be in form of a room or suite of rooms goes a long way in solving housing problem among the low-income group and the poor. Affordability which is the percentage of the present income that a person or family can afford to spend on housing is the reason for the choice of that type of house. It is the ability to back up a desire for housing units with adequate financial resources such that other basic needs like food, health, education, transportation among others do not as a result suffer. Housing expenditure that exceeds 30\% of household income is viewed as an indicator of housing affordability problem. Therefore affordability is income related and it is among the indices of measuring housing needs of human beings.\par
Housing for low -income families is a major component of all towns and cities in Asia, Africa, Latin America and the Caribbean, typically covering 60 -80 percent of the developed land area of towns and cities and accounting for 50 -70 percent of the value of the fixed capital formation or urban areas of which they are an integral part (  {\ref UN -Habitat, 2003)}. As such, lowincome group housing policies and implementation strategies cannot be divorced from policies and strategies for the development, planning and management of towns, and cities as a whole as they have been, and still are, in many countries \hyperref[b19]{(Wakely, 2014)}.\par
Poverty is high in developing countries where the low-income groups and the poor are in the majority. Some of the strategic mechanisms by which the lowincome urban households and communities house themselves informally using their own resources have been broadly categorised into two basic approaches of informal development of vacant land or unauthorised occupation of vacant or under-used central land refered to as squatting \hyperref[b19]{(Wakely, 2014)}.\par
Several attempts were made in several countries to increase the supply of housing affordable to lower income groups and limit the exploitation by private sector landlords through governments imposed rent controls on urban property. But the rent controls have rendered the supply and maintenance of urban housing commercially uneconomic, leading to its abandonment or deterioration in many cases.\par
African governments have been intervening in urban housing markets soon after their political independence from colonialism in the late 1950s and 1970s, but not on the same ambitious scale as their Asian and Latin American counterparts. For example, the first Independent Government of Kenya created a National Ministry of Lands and Settlement, and the procurement of subsidised urban housing was made the responsibility of municipal government in their major cities. Similarly in Nigeria, the clearance of slums and delivery of public housing was the responsibility of local government or local -level Parastatals development authorities, such as the famous and ambitious Lagos Executive Development Board (LEDB). But up till date, the region is still experiencing housing shortage.\par
Many housing development schemes which were put in place in developing countries to address housing provision issues have always ended as fiascos, many of such schemes meant for housing the poor ended up as middle class housing. Corruption, poor governance and availability of adequate housing in the legal housing market in developing countries have been found to be encouraging informal settlement. Countries experiencing informal settlement growth are faced with many problems related to urban poverty, high unemployment, social hardships and conflicts. Mitlin (2000) noted that the developing countries have three types of housing development systems; which are formal, informal and organic. Formal developments have the legal basis of planning agencies. They are developed within the structure of government rules, controls and regulations. Informal housing developments are often illegal and consist of unauthorized colonies and squatter settlements. This type of developments became rampant because of affordability issues, inadequate housing supply and poor governance. Organic housing developments are those that emerged over a period of time without any conscious measures, whether legal or illegal. Old cities and urban villages fall under this category of developments. A significant proportion of urban population lives in the informal settlements \hyperref[b13]{(Sivam, 2003)}.\par
Recent studies such as Schlyter (2003); Majale and Tipple (2007) focused on a particular type of housing that the poor provided for themselves in cities of developing countries such as Zimbabwe and Ghana. This type of housing referred to as multi-habitation transcends the physical form of housing to include the social and psychological characteristics. The house form in which multi-habitation is practised is predominantly associated with the developing countries and in particular the poor \hyperref[b14]{(Tipple, 2000)}. The house form represents the more traditional lifestyle in West Africa and also represents a physical entity, the power and cohesion of the extended family system, one of the many features which have survived in West Africa  {\ref (Tipple \& 1999)}.\par
More recently studies such as Okeyinka (2007) on house types and meaning of home; and Okeyinka (2016) on the study of multi-habitation in Ogbomoso Nigeria indicated the preponderance of multihabited house type in Ogbomoso and that these multihabited houses are indeed houses for the poor.\par
The results obtained from the investigation of the concept of multi-habitation in an agrarian-cumpublic servant urban centre of Ogbomoso revealed the social status of the residents in multihabited houses.\par
This paper therefore presents the results of the socio-economic characteristics of residents in multihabited houses with a view to establishing the social class of the residents, in order to inform policy on housing especially for the urban poor and low-income group. 
\section[{( C )}]{( C )}\par
II. 
\section[{Methods}]{Methods}\par
To examine the significance of the socioeconomic characteristics of residents in multihabited houses with their housing typology; residents of traditional compounds and rooming houses within the high and medium residential areas of Ogbomoso were selected as the sample and a survey was conducted. Responses (955) were from household heads, male or female who have lived in the house for about 10years or more. 
\section[{a) Sample}]{a) Sample}\par
Ogbomoso is an agrarian -cum -public service town in Nigeria. The choice of the high and medium residential area was based on the fact that the high density area is the central core and the medium density is the immediate development around the central core where traditional compounds and rooming houses, that is, multihabited houses are located. The house type by their form and arrangement provides accommodation for multiple households/ families. There were 11,466 houses in Ogbomoso metropolis (2006 Census). Ogbomoso has two local areas of Ogbomoso North and Ogbomoso South. Ogbomoso town has been delineated into the three home environments of high, medium and low residential densities. Figure I. shows the map of Ogbomoso and the residential delineation. The generally believed ratio of population distribution of 3:2:1 in the home environments was used, the total population of houses within the high and medium densities then becomes 9,555 houses. 10\% of 9,555 houses were picked as the sample.\par
Source: Geographic Information System, LAUTECH Ogbomoso, 2015. There were two major reasons for targeting the multihabited houses and the residents only. First, it was to know the socio-economic status of people who live in multihabited houses. Information relating to socioeconomic characteristics are vital information in the formulation of workable housing policies and planning of basic infrastructure (Ogunleye, 2013; Gbakeji and Rilwani, 2009). Secondly, it was to know how common the house type is, since the purpose of the study was to examine the significance of socio-economic variables in the choice of the housing type. 
\section[{b) Survey}]{b) Survey}\par
The questionnaire was structured after a review of previous housing research and revised after a pilot study. A reconnaissance survey was conducted, streets in the area were compiled and multihabited houses on the streets were numbered. Systematic sampling method was used in selecting a house, the first house was randomly selected and subsequent house at an interval of tenth house. Simple random sampling was used in selecting a household head since a multihabited house comprises multiple households and multiple household heads. In a situation where the household head was not available, the wife or a grown up child was chosen. The survey was conducted in 2015 with 946 residents responding. See Figure \hyperref[fig_3]{2} for the pictorial view of some multihabited houses.   15 variablesof age, educational status, occupation, income, tenure status, rents paid per month, sex, marital status, ethnicity, religious, length of stay in Ogbomoso, length of Stay in house, Family structure, household size and number of children were used to measure socio-economic status of residents in multihabited houses in the study area. This study adopted this method because there is no one particular variable to measure social status.\par
The results of six variables considered to be salient socio-economic characteristics are presented in The age structure of the residents indicated that most household heads are in the middle ages (31-45), (46-50) and (51-60) years. This suggested that those who live in multihabited houses are relatively young and active population. There does not appear to be any significant difference between age groups of those who live in multihabited houses in the medium density and those who live in the high density area. There is a significant difference between female household heads and male household heads in the study area. 54.5\% were female and 45.5\% were male. This appears not to be in line with the population distribution between the sexes in the national level in Nigeria, in Oyo State and local government level of Ogbomoso North and Ogbomoso South, there is a tilt in favour of the female sex. The reason for this might be as a result of a high percentage (11.9\%) of widow/ widower and 1.1\% of those separated respectively in the study area. Women who are widow or separated find easy and affordable accommodation in multihabited houses where they only pay for a room or more.\par
The high proportion of female heads of households in multihabited dwellings in the study area could also be attributed to several factors which included economic factors and social changes. The study found that some women are divorced or separated from their spouses and could only afford the cost of accommodation in this house type. For other women, the mantle of household headship fell on them because their household head are dead or not resident. Women have been found to be among the poorest and disadvantaged group in the city who could only afford accommodation in this house type. This appears to be in line with the submission of Miraftab (2001) and Shawki (2004) that female-headed households are worse than other types of households in urban housing market due to their state of poverty. 
\section[{b) Marital status and Household size}]{b) Marital status and Household size}\par
The marital status shows that majority (78.2\%) of the residents were married compared to 7.7\% who were single, 11.9\% were widow/widower, while 1.10\% were separated. This result shows that majority of the residents in multihabited houses were married people consisting different households. The household sizes across the residential area show that 50.1\% households of the sample have household sizes of 3 -6 persons. The corresponding figures for the 7 -9 and 1 -2 persons categories are 22.3\% and 14.4\% respectively. The 1 -2 persons household must have been reported by the single, widow or separated households, the married in the study area have a modal family size of between 3 -6 persons.\par
IV. 
\section[{Educational Status of Residents}]{Educational Status of Residents}\par
Table  {\ref 1} showing the educational status of residents in multihabited houses shows a low level of literacy among the sample population. For example, the result indicated that about 53.1\% have primary school education, did not complete primary education or had no formal education (23.15\% plus 16.2\%plus 13.8\%), specifically 31.6\% completed secondary school and 9.8\% had tertiary education. The results' suggest a low level of education among the residents. Infact this is supported by the fact that the questionnaire administered had to be filled by the researcher and research assistants rather than being filled by the respondents. The pattern of educational attainment revealed from the study suggests that the prevalent high cost of education in Nigeria might have limited the educational pursuits of poorer households since the house type is synonymous with the poor. 
\section[{a) Occupational structure}]{a) Occupational structure}\par
The occupational structure of the residents indicated that a sizeable proportion of the residents (46.0\%) were traders, (15.0\%) were artisans, and (18.0\%) were not employed in any sector mentioned at all.\par
It is evident therefore that most of the residents are in the informal sector, while only about (9.3\%) that is, (5.2\% teachers and 4.1\% civil servant) are in the formal sector. This occupational structure of residents equally explains their income levels. 
\section[{b) Household income}]{b) Household income}\par
Household income plays a crucial role in housing as it determines the type and neighbourhood preference. If the income is low, the household may rent, but as soon as the income increases, the household may decide to own either by building or buying from the housing market. The incomes of residents show that majority 40.1\% of the residents in multihabited houses across the residential areas earned less than N10,000 per month; (33.6\%) earned N11,000 -N20,000; (13.7\%) earned between N21,000 -N40,000; and 6.2\% earned between N41,000 -N60,000 per month. Only 1.7\% earned between N61,000 -N100,000 a month.\par
This result indicated that most of the residents living in multihabited dwelling were very poor, lowincome people. The results reveal that there are few medium income earners in the houses sampled in the study area.\par
It could be concluded that multihabited houses are populated by the very poor of the city, based on these findings where majority (about 73.7\%) which is the addition of those earning below N10,000 and those earning between N10,000 -N20,000) of the residents earn below the national minimum wage of N18,000 per month. 
\section[{( C )}]{( C )}\par
V. 
\section[{Residents' Socio-Economic Characteristics and Housing Typology}]{Residents' Socio-Economic Characteristics and Housing Typology}\par
Literature and general survey of houses have noted that multihabited house form is a dominant house form in cities of developing countries (Rakodi, 1995). Tipple et al, (1999) indicated that the reason for the dominance of the house type among other thing is that, it is a form of housing which has been providing rental accommodation for the large population and the immigrant population in the rapidly expanding cities of the developing countries. \hyperref[b3]{Majale and Tipple (2007)} concluded that it is a house type that the poor provided for themselves in Third World Cities. It would therefore be necessary to examine the significance of some salient socio -economic variables on the choice of the housing typology. A chi -square analysis was done to show the level of significance of the variables to the housing typology. The results of the analysis are presented in Table \hyperref[tab_1]{2}. Three of the six dependent variables (educational status, occupation and monthly income) found to have a significant influence on the house type. To identify the degree of importance placed on each of the socio -economic variables in the choice of multihabited housing typology among the low -income and the poor; chi -square was computed. Accordingly, the highest X 2 was 50.015 while the least was 1.543. Some of the socio -economic characteristics variables with high X 2 included: monthly income, occupation and educational status. Variables with low X 2 included: Household size, age and marital status.\par
It is absolutely clear that income plays a very crucial role in the choice of housing. Income is influenced by occupation and educational status. Often times, income structure and sources are reflective of the household's level of educational attainment. The middle and high income are usually mainly the professional with higher educational attainment beyond secondary school, and they generate their income from wages and salaries and other secondary sources  {\ref (FRN, 2007)}. The low -income earners who are the majority of the residents in this house type, generates the bulk of their income from either informal savings or thrift, consumptions of own productions and profits from trading. 
\section[{VI.}]{VI.} 
\section[{Policy Issues and Conclusion}]{Policy Issues and Conclusion}\par
African governments have been intervening in urban housing markets since after their political independence from colonialism in the late 1950s and 1970s, but up till date the region is still experiencing housing shortage. Several attempts have been made in several countries to increase the supply of housing affordable to lower income groups, a social class believed to be in the majority in most African countries, yet most of the African country still experience high informal settlement growth, high urban poverty, high unemployment, social hardships and conflicts. Poverty is high in Africa and majority are poor or low-income. This paper discusses the socio-economic characteristics of residents of multihabited houses, a house form which allows independent life of households at low cost and sharing of services with other households. Previous studies have also confirmed the preponderance of the house type in some cities of developing countries. The discussions of the results have demonstrated the significance of income to the choice of this house type. The Federal, State, Local governments and other stakeholders concerned with policies relating to housing are hereby called upon to consider multihabited houses as a way of reducing informal settlement growth, and take it into consideration when formulating housing policy.\begin{figure}[htbp]
\noindent\textbf{1}\includegraphics[]{image-2.png}
\caption{\label{fig_0}Figure 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-3.png}
\caption{\label{fig_1}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-4.png}
\caption{\label{fig_2}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{2}\includegraphics[]{image-5.png}
\caption{\label{fig_3}Figure 2 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{.1} \par 
\begin{longtable}{P{0.038616860171630484\textwidth}P{0.20252397778899545\textwidth}P{0.20595658758202928\textwidth}P{0.2029530540131247\textwidth}P{0.1999495204442201\textwidth}}
a) Age and sex structure\tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep Overall \% Frequency\tabcellsep High Density \% Frequency\tabcellsep Medium Density \% Frequency\\
\tabcellsep 18 -30\tabcellsep 13.0\% (118)\tabcellsep 11.4\% (62)\tabcellsep 15.3\% (56)\\
\tabcellsep 31 -45\tabcellsep 30.8\% (280)\tabcellsep 29.5\% (160)\tabcellsep 32.8\% (120)\\
\tabcellsep 46 -50\tabcellsep 16.3\% (148)\tabcellsep 15.3\% (83)\tabcellsep 17.8\% (65)\\
Age\tabcellsep 51 -60\tabcellsep 16.3\% (148)\tabcellsep 18.4\% (100)\tabcellsep 13.1\% (48)\\
\tabcellsep 61 -70\tabcellsep 12.7\% (115)\tabcellsep 11.6\% (63)\tabcellsep 14.2\% (52)\\
\tabcellsep 70 and above\tabcellsep 11.0\% (100)\tabcellsep 13.3\% (75)\tabcellsep 6.8\% (25)\\
\tabcellsep TOTAL\tabcellsep 100 (909)\tabcellsep 100 (543)\tabcellsep 100 (366)\\
\tabcellsep Mean age 46 -50\tabcellsep \tabcellsep \tabcellsep \\
Sex\tabcellsep Male\tabcellsep 45.5\% (416)\tabcellsep 46.8\% (260)\tabcellsep 43.5\% (156)\\
\tabcellsep Female\tabcellsep 54.5\% (499)\tabcellsep 53.2\% (296)\tabcellsep 56.5\% (203)\\
\tabcellsep TOTAL\tabcellsep 100 (915)\tabcellsep 100 (556)\tabcellsep 100 (359)\\
\tabcellsep Single\tabcellsep 7.7\% (72)\tabcellsep 7.1\% (40)\tabcellsep 8.6\% (32)\\
\tabcellsep Married\tabcellsep 78.2\% (734)\tabcellsep 77.7\% (440)\tabcellsep 78.8\% (294)\\
Marital Status\tabcellsep Divorced\tabcellsep 1.2\% (11)\tabcellsep 0.7\% (4)\tabcellsep 1.9\% (7)\\
\tabcellsep Widow/Widower\tabcellsep 11.9\% (112)\tabcellsep 13.1\% (74)\tabcellsep 10.2\% (38)\\
\tabcellsep TOTAL\tabcellsep 100 (939)\tabcellsep 100 (566)\tabcellsep 100 (373)\\
\tabcellsep No formal education\tabcellsep 13.8\% (120)\tabcellsep 13.2\% (95)\tabcellsep 7.2\% (25)\\
Educational\tabcellsep Pry School Incomplete\tabcellsep 16.2\% (141)\tabcellsep 16.1\% (84)\tabcellsep 16.4\% (57)\\
Status\tabcellsep Completed Pry School\tabcellsep 23.1\% (201)\tabcellsep 22.8\% (119)\tabcellsep 23.6\% (82)\\
\tabcellsep Completed Sec. School\tabcellsep 31.6\% (275)\tabcellsep 28.5\% (149)\tabcellsep 36.3\% (126)\\
\tabcellsep Tertiary education\tabcellsep 9.8\% (85)\tabcellsep 8.8\% (46)\tabcellsep 11.2\% (39)\\
\tabcellsep Others\tabcellsep 5.4\% (47)\tabcellsep 5.6\% (29)\tabcellsep 5.2\% (18)\\
\tabcellsep TOTAL\tabcellsep 100 (869)\tabcellsep 100 (522)\tabcellsep 100 (347)\\
Occupation\tabcellsep Farming\tabcellsep 11.7\% (108)\tabcellsep 12.3\% (68)\tabcellsep 10.8\% (40)\\
\tabcellsep Trading\tabcellsep 46.0\% (424)\tabcellsep 43.4\% (239)\tabcellsep 49.9\% (185)\\
\tabcellsep Teaching\tabcellsep 5.2\% (48)\tabcellsep 4.9\% (27)\tabcellsep 5.7\% (21)\\
\tabcellsep Artisans\tabcellsep 15.0\% (138)\tabcellsep 15.4\% (85)\tabcellsep 14.3\% (53)\\
\tabcellsep Civil service\tabcellsep 4.1\% (38)\tabcellsep 3.6\% (20)\tabcellsep 4.9\% (18)\\
\tabcellsep Others\tabcellsep 18.0\% (166)\tabcellsep 20.3\% (112)\tabcellsep 14.6\% (54)\\
\tabcellsep TOTAL\tabcellsep 100 (922)\tabcellsep 100 (551)\tabcellsep 100 (371)\\
\tabcellsep Below N10,000\tabcellsep 40.1\% (234)\tabcellsep 40.7\% (132)\tabcellsep 39.4\% (102)\\
\tabcellsep N10,000 -21,000\tabcellsep 33.6\% (196)\tabcellsep 30.2\% (98)\tabcellsep 37.8\% (98)\\
\tabcellsep N21,000 -40,000\tabcellsep 13.7\% (80)\tabcellsep 17.3\% (56)\tabcellsep 9.3\% (24)\\
Income\tabcellsep N41,000 -60,000\tabcellsep 6.2\% (36)\tabcellsep 4.0\% (13)\tabcellsep 8.9\% (23)\\
\tabcellsep N61,000 -100,000\tabcellsep 1.7\% (10)\tabcellsep 1.5\% (5)\tabcellsep 1.9\% (5)\\
\tabcellsep Others\tabcellsep 4.6\% (27)\tabcellsep 6.2\% (20)\tabcellsep 2.7\% (7)\\
\tabcellsep TOTAL\tabcellsep 100 (583)\tabcellsep 100 (324)\tabcellsep 100 (259)\\
\tabcellsep Mean: N10,000 -\tabcellsep \tabcellsep \tabcellsep \\
\tabcellsep N21,000\tabcellsep \tabcellsep \tabcellsep \\
Household\tabcellsep 1 -2 persons\tabcellsep 14.4\% (134)\tabcellsep 13.4\% (75)\tabcellsep 15.8\% (59)\\
size\tabcellsep 3 -6 persons\tabcellsep 50.1\% (466)\tabcellsep 49.6\% (277)\tabcellsep 50.7\% (189)\\
\tabcellsep 7 -9 persons\tabcellsep 22.3\% (208)\tabcellsep 21.3\% (119)\tabcellsep 23.9\% (89)\\
\tabcellsep 10 -13 persons\tabcellsep 9.6\% (89)\tabcellsep 10.4\% (58)\tabcellsep 8.3\% (31)\\
\tabcellsep 14 persons and above\tabcellsep 3.7\% (34)\tabcellsep 5.2\% (29)\tabcellsep 1.3\% (5)\\
\tabcellsep TOTAL\tabcellsep 100 (931)\tabcellsep 100 (558)\tabcellsep 100 (373)\\
\tabcellsep Mean: 5.96\tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_0}Table . Table 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{2} \par 
\begin{longtable}{P{0.034999999999999996\textwidth}P{0.285\textwidth}P{0.095\textwidth}P{0.045\textwidth}P{0.18\textwidth}P{0.21\textwidth}}
S/N\tabcellsep Socio -economic variables/characteristics\tabcellsep X 2\tabcellsep Df\tabcellsep P -value\tabcellsep Remark\\
1.\tabcellsep Age\tabcellsep 19.354\tabcellsep 10.\tabcellsep 0.036\tabcellsep Not significant\\
2.\tabcellsep Marital Status\tabcellsep 1.543\tabcellsep 9.\tabcellsep 0.992\tabcellsep Not significant\\
3.\tabcellsep Educational status\tabcellsep 30.047\tabcellsep 10.\tabcellsep 0.001\tabcellsep Significant\\
4.\tabcellsep Occupation\tabcellsep 36.452\tabcellsep 10.\tabcellsep 0.000\tabcellsep Significant\\
5.\tabcellsep Monthly Income\tabcellsep 50.015\tabcellsep 10.\tabcellsep 0.000\tabcellsep Significant\\
6\tabcellsep Household size\tabcellsep 21.895\tabcellsep 8.\tabcellsep 0.000\tabcellsep Not significant\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \multicolumn{2}{l}{Source: Author's Computation, 2015}\end{longtable} \par
 
\caption{\label{tab_1}Table 2 :}\end{figure}
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