Education Of Household Head Research Articles

Assessment of the impacts of social capital on the profit of shrimp farming production in the Mekong Delta, Vietnam

This study assesses capital assets and factors influencing on farmers’ decision to participate in social networks, and how these contribute to and affect household’s profits of small-scale shrimp farmers in four coastal provinces in the Mekong Delta, Vietnam. Data was collected through observations, and informal discussions and interviews with 350 small-scale shrimp farmer households. The results show that farmer’s age, education of household head, dependency ratio, village residence time, village population density are important factors influencing positively on shrimp farmers´ participation in social networks. The study also shows that contacts with fisheries association, traders, wholesale agencies, trust, household savings, labors’ education, household’s agricultural land size, post larvae quality and equipment significantly influenced on the profit variable with 1–10%. The results also indicate that a 10% increase in social capital would bring an increase in household income of 3.9%.

Determinants of Adoption of Climate Smart Agricultural Practices by Smallholder Farmers in Buhera and Chiredzi Districts of Zimbabwe

This study was set to assess factors that drive adoption of six climate smart agriculture technologies in Buhera and Chiredzi districts of Zimbabwe using a sample size of 240 households. Multivariate probit analysis was used to determine factors that influence smallholder farmers' decision to adopt climate smart agriculture technologies. The study finds that age, gender, education of household head, household size, membership to social group, land size, land ownership, and training influence adoption of the six climate smart agriculture technologies. Therefore, policies that allow an improvement in land size and ownership should be given full support by both government and NGO community. The study further recommends that there should be more trainings on benefits of various climate smart agriculture technologies. Farmers should further be encouraged to participate in social groups for easy access to extension information on climate smart agriculture.

Determinants of Off-Farm Labour Participation and Time Allocation: Double-Hurdle Results in the Case of Fiji

This study analyses the determinants of off-farm labour participation decisions of the agricultural households in Fiji. The analysis of joint decision to participate and the amount of time allocated to work is undertaken by using the double-hurdle model based on the Household Income and Expenditure Survey 2008–2009. The results show that household head status, age, marital status, ethnicity and education influence off-farm participation decisions of the farm households. On the households’ time allocation decisions towards off-farm income-generating activities, the family size, remittances, income and several types of agricultural outputs influence the labour supply decisions. These households and farm characteristics are important in creating better returns, reducing risks from land constraints and natural disasters, managing income and consumption uncertainties and providing quality farm inputs. The results highlight some important policy implications that would help address low agricultural productivity and render increased support for off-farm income earning activities.

Understanding forest users' participation in participatory forest management (PFM): Insights from Mt. Elgon forest ecosystem, Kenya

Participation of local communities in forest management decision-making has been promoted as a mechanism of improving livelihoods and forest conditions, yet the level of participation in many programs remains low. Using data from a cross-sectional survey of 924 forest-dependent households in Western Kenya, we examine the factors that support or constrain forest dependent people's participation in a Participatory Forest Management (PFM) program. We run a probit model to assess households' choice to join PFM and then compute a Participation Index (PI) for forest users' participation across different stages of the PFM program – planning, implementation and Monitoring and Evaluation (M&E). The determinants of participation are then analyzed using the fractional regression approach. Results show that over half (52%) of the respondents participated in PFM. While vulnerability to shocks, being in a farmers' group, a household's access to the forest within the previous 12 months and access to extension were associated with the likelihood of participating in PFM, the influence of the household head's age and education, access to credit and food insecurity had a negative influence. Our results reveal PIs of 41%, 49%, and 42% at the planning, implementation, and M&E stages respectively, indicating a moderate participation level. The fractional regression model shows that transaction costs associated with access to markets, gender (being male), household expenditure and expected forest benefits positively influence household participation in PFM, while the opportunity costs associated with off-farm income, distance to the forest and lack of extension have a negative influence on participation. These results point to the need to take the household context (gender, education, household expenditure and vulnerability) into consideration during planning and implementation of the forestry programs. The implication is that forest authorities should identify and implement mechanisms to enhance benefits from forests but also reduce costs of participation, especially for women.

Household head's educational level and household education expenditure in China: The mediating effect of social class identification

Fairness in education is an issue of great concern for China's development. At the same time, household education expenditure is a key factor and objective material embodiment of the educational resources and educational opportunities for Chinese children. Using the data of the China Labor-force Dynamics Survey (CLDS2016), this study analyzes the mechanisms of action in household education expenditure affected by both the educational level and the social class identification of household heads. The empirical results indicate that the Chinese household heads' social class identification is affected positively by their educational level. After controlling for the potential endogeneity, the education expenditure tends to increase as the subjective social class identification of the household heads is promoted. Class identification plays a partial mediating role in the process of the household head's educational level, affecting the household education expenditure. The findings provide important insights for understanding the intergenerational transmission mechanism of cultural capital in China.

Relationship between anxiety symptoms, clinical control and quality of life of children with asthma: A cross-sectional study.

To investigate the relationship between anxiety symptoms and factors related to clinical control and quality of life of children with asthma aged 7-12 years. A cross-sectional comparative study involving children recruited from a reference center for asthma treatment in the city of Natal-RN. Diagnosis, control and severity were performed following GINA recommendations (2019). Sociodemographic information and spirometry results from a bronchodilator test were collected. Modified Fisher's scale, clinical control questionnaires (c-ACT and ACT), quality of life assessment (PAQLQ) (total score and domains) and anxiety symptoms assessment (SCAS) (total score and domains) were applied. The sample consisted of 42 children with asthma. Symptoms of social phobia (as identified by SCAS), and household head education were related to clinical asthma control (p = .006; R 2 = .19). Total SCAS score, guardian's education and physical activity were related to total PAQLQ (p < .0001; R 2 = .33). SCAS was related to the activity limitation domain of PAQLQ (p = .004; R 2 = .17). SCAS, gender, and physical activity were related to the PAQLQ symptoms domain (p = .003; R 2 = .32). The guardian's education, physical activity practice, and the symptoms of separation anxiety, panic attack and agoraphobia (as identified by SCAS) were related to the emotional domain of PAQLQ (p = .004; R 2 = .45). The present study shows evidence of an association between anxiety symptoms, poorer clinical control, and health-related quality of life in children with asthma.

Determinants of Male Adolescents Smoking Behavior in Indonesia using Negative Binomial Regression

Adolescent smoking habits have become the Ministry of Health's major program associated with tobacco consumption. In 2016, the prevalence of adolescent smoking aged 10-18 years reached 8.8% and were rate increasingly against the Strategic Planning Ministry of Health 2015-2019 target to lower adolescent smoking prevalence to 5.4%. Male adolescents consuming cigarettes are higher than females. Whereas, high consumption of cigarettes in men will increase the risk of impotence and decrease reproductive health quality to affect future generations' quality. This study aims to determine the general picture of smoking behavior in Indonesia's male adolescent in 2018 and any variables that affect the number of cigarettes consumed. The analytical method used is Poisson Regression and Negative Binomial Regression. The data source used is raw data Riskesdas 2018 with the unit of analysis are male adolescent smokers aged 10-18 years. Research indicates that most male adolescents are light smokers. Heavy smokers were dominated by older age, living in a rural area, poorly educated, employed, lived with a household head who was a smoker, and had low education. Age, location of residence, education level, working status, smoking status, and household head education level significantly affect male adolescents' smoking behavior.

ANALYSIS OF CONSUMPTION EXPENDITURE AND CONSUMER PREFERENCES FOR SELECTED ANIMAL PRODUCTS: THE CASE OF LOW INCOME HOUSEHOLDS IN WARRI, NIGERIA

Most urban low-income households in Nigeria are plagued with inadequate animal protein intake level. The reasons for this according to literature include such problems as low levels of household income, large household size, low level of education of household head, age of household head, age structure of households, and location of dwelling. This study was aimed at re-examining these issues using data from Warri, a major urban area in southern Nigeria. In addition, the study investigated the hypothesis that in consumer behavior, a consumer may prefer a commodity X to a commodity Z when the preference ranking is strictly based on desire, while the same consumer would prefer Z to X when the basis for preference ranking is influenced by the ability to purchase. The result showed firstly that the monthly household – income, the household size and the age of household head in that order are the major factors through which variation in the level of household expenditure on animal protein intake by urban low-income household can be explained and predicted. Income elasticity of household expenditure on fish, chicken, beef and eggs was estimated to be 0.96 which is considered fairly high given the national figure of 0.70. this increase in household monthly income may be a veritable way of stimulating animal protein consumption among low-income urban dwellers. Secondly, it was found out that as a result of high relative prices and low income level the households actually consume less frequently some of those animal products which they desired more (i.e preferred).

The impact of climate smart agriculture on household welfare in smallholder integrated crop\u2013livestock farming systems: evidence from Zimbabwe

BackgroundAgriculture contributes significantly to the welfare of smallholder farmers, but it has become highly susceptible to climate change, due to its reliance on the increasingly erratic rainfall patterns. Climate Smart Agriculture (CSA) offers important opportunities for enhancing food security and incomes through increased agriculture productivity. Technology evaluation through impact studies provides information on the effect of CSA on farmer welfare, thereby highlighting its potential in optimizing agriculture productivity. This paper analyses the impact of CSA adoption on food security and income of households, using cross-sectional survey data collected from 386 households across four districts in Zimbabwe. The analysis was done using the endogenous switching regression model which controls for selection bias and unobserved heterogeneity, a commonly used method in adoption impact analysis.ResultsThe study found several agricultural and socio-economic factors which affect adoption and food security. The econometric results show that the status of soil fertility in fields, distance to input and output markets, ownership of communication assets, and Total Livestock Units (TLU) have a significant impact on the decision of farmers to adopt CSA. The Average Treatment Effects on the Treated (ATT) and Average Treatment Effects on the Untreated (ATU) were found to be positive and significant for adopters and non-adopters, indicating that CSA adoption has had a significantly positive impact on the welfare of the farmers. An analysis of the outcomes revealed that the characteristics of farmers and farms, as well as market factors, significantly affect the welfare of households. The household income, with reference to the adoption of CSA, was significantly affected by factors such as the education of household head, labour size, TLU, and asset index. Food security was influenced by factors such as the education of household head, TLU, access to sanitation, and arable land size.ConclusionsThe study concludes by giving policy recommendations centred on the access to inputs, sanitation, and encouraging investing in assets and TLU. The findings indicate that the adoption of CSA has a positive impact on the welfare of farmers. To exploit the full potential of these technologies, the study suggests that access to timely weather forecasts must be ensured, that sanitation must be promoted, and that incentives must be provided for agricultural input agro-dealers to decentralize to rural areas.

Participation mode and production efficiency enhancement mechanism of Geographical Indication products in rural areas: A meta-frontier analysis

This paper explored how rural cooperatives influence technology efficiency of farmer in the context of Geographical Indication (GI) products industry and identify the main influence factors, to realize regional sustainable development. Based on a survey of rural households in Qingyuan County located in the northeast forest zone in China, where is famous for GI product - Chinese Gentian (a Chinese herbal medicine), the efficiency enhancement mechanism of two groups of farmers (cooperative participants and cooperative non-participants) is analyzed, a meta-frontier analysis (MFA) model is constructed to empirical analyze the impact of farmers' participation in cooperatives on the efficiency of Chinese herbal medicine cultivation, and the heterogeneity of farmers that influence technical inefficiency is identified. The conclusions include: Two different ways to participate in the cultivation of GI products are through cooperatives and self-participation which keep farmers at different frontiers of production; The difference in efficiency within the rural cooperative is small but the efficiency of self-participating farmers is relatively large; The efficiency is about 32% higher, which explains the main reason for increase the efficiency of farmers are unified management, skill training and knowledge information diffusion. Household head age, education, enthusiasm and agricultural skill are the main influencing factors of technology inefficiency. This paper enriches the understanding of how rural cooperatives promote technology efficiency of rural households, especially with the heterogeneity of farmers' endowment, and how this contribute to the adaptive management of local GI brand and targeted poverty alleviation to realize rural revitalization.

DETERMINAN STATUS KEMISKINAN ANAK PADA RUMAH TANGGA KRT PEREMPUAN DI PROVINSI BENGKULU 2018

Kemiskinan anak merupakan permasalahan serius. Salah satu faktor yang mempengaruhinya adalah jenis kelamin KRT. Anak pada rumah tangga KRT perempuan cenderung lebih berisiko mengalami kemiskinan dibanding anak pada rumah tangga KRT laki-laki. Hal tersebut disebabkan oleh adanya anggapan sosial bahwa perempuan merupakan masyarakat kelas dua. Sehingga dalam dunia kerja tidak memiliki kesempatan yang setara dengan laki-laki. Provinsi Bengkulu merupakan provinsi di wilayah barat Indonesia dengan tingkat kemiskinan anak tertinggi pada tahun 2016 sehingga menjadi fokus dalam penelitian ini dengan tujuan untuk mengetahui gambaran umum, mengidentifikasi faktor-faktor yang mempengaruhi, serta menganalisis kecenderungan variabel bebas terhadap status kemiskinan anak pada rumah tangga KRT perempuan di Provinsi Bengkulu tahun 2018. Data yang digunakan adalah data hasil praktik kerja lapangan mahasiswa Politeknik Statistika STIS tahun 2018. Dengan menggunakan metode analisis regresi logistik biner, diketahui bahwa pendidikan KRT, status pekerjaan KRT, jumlah ART, dan status perkawinan KRT berpengaruh signifikan terhadap kemiskinan anak KRT perempuan di Provinsi Bengkulu tahun 2018. Kecenderungan lebih besar terjadi pada anak dengan karakteristik pendidikan tertinggi KRT adalah di bawah SMA, KRT bekerja di sektor pertanian, memiliki jumlah ART besar, dan KRT berstatus kawin.

PENERAPAN REGRESI COMPLEMENTARY LOG-LOG DALAM ANALISIS KEMISKINAN ANAK DI DAERAH PERKOTAAN DI PROVINSI BENGKULU TAHUN 2018

Kemiskinan anak merupakan suatu masalah yang perlu mendapat perhatian khusus, mengingat anak merupakan generasi masa depan bangsa. Kemiskinan anak erat kaitannya dengan kemiskinan rumah tangga. Melalui pendekatan moneter, seorang anak usia 0-17 tahun dikatakan mengalami kemiskinan jika tinggal dalam rumah tangga dengan rata-rata pengeluaran per kapita per bulan berada di bawah garis kemiskinan. Lokus penelitian ini adalah Provinsi Bengkulu yang berangkat dari temuan bahwa tingkat kemiskinan anak di Provinsi Bengkulu tertinggi di antara provinsi di Pulau Sumatera pada tahun 2016. Penelitian ini lebih difokuskan untuk menganalisis kemiskinan anak di daerah perkotaan. Penelitian ini menggunakan data hasil Praktik Kerja Lapangan Mahasiswa Politeknik Statistika STIS Tahun Akademik 2017/2018 yang diselenggarakan di Provinsi Bengkulu. Metode analisis yang digunakan adalah regresi nonlinier dengan fungsi hubung complementary loglog dengan metode backward elimination. Hasil analisis menunjukkan bahwa anak yang tinggal dengan kepala rumah tangga berusia lebih muda, dengan pendidikan kepala rumah tangga yang ditamatkan di bawah SMA, anak yang tinggal dalam rumah tangga yang berukuran lebih dari empat orang anggota rumah tangga, dan anak yang tinggal di rumah tangga yang tidak memiliki perilaku menabung lebih berisiko untuk mengalami kemiskinan anak.

Determinants of Contract Farming Adoption and its Impact on Productivity of Smallholder Cotton Producers in Tanzania

The focus of this paper was on the determinants of contract farming adoption and its impact on productivity to smallholder cotton producers in Bunda District, Tanzania. A survey of 220 contract farmers and 194 non-contract farmers was done by the researcher through personally administered questionnaires. Results from the treatment effects model show that gender of household head, household head age, experience in cotton cultivation, obtaining loan from other sources, being wage-earner, owning cattle, and owning bicycle had influence on adopting contract farming. However, education of household head, household size, off farm activities, owning motorcycle and radio had no influence on adopting contract farming. With regard to impact of contract farming adoption to productivity of smallholder cotton farmers in the investigation region, findings show that there is insignificant impact due to late supply of inputs to farmers by ginners, sprayers were not given on loan basis to farmers for spraying their farms in order to control pests and cultivation service was provided at TShs. 30,000/= upfront which was not afforded by farmers. In this case, Tanzania Cotton Board (TCB) should launch major campaign to educate farmers and ginners on the advantages of contract farming, secondly, ginners should be instructed to supply inputs (cotton seed and pesticides) to farmers timely and lastly ginners should provide sprayers and cultivation services to farmers as agreed when signing contract. Otherwise, contract farming adoption for the purpose of increasing productivity will be a nightmare.

The Determinants of Vulnerability to Poverty Among Female Headed Households in Rural Ethiopia: The Case of West Arsi Zone, Shashemene District

Women are the ones that suffer the most from poverty around the world. The determinants of poverty vulnerability among female-headed households in Shashamane district are investigated in this study. In West Arsi Zone, Shashemene district, the study's goals were to assess poverty indicators, poverty levels, and how female-headed households cope with poverty. Mixed methods were employed in this study, with data coming from both primary and secondary sources. A total of 220 people were polled using the simple random sampling approach. A Cost of Basic Needs (CBN) technique was used to establish the total poverty line, and the major data for the study was acquired using structured questioners. The logit regression model and odd ratio analysis were used to analyze the poverty index descriptive statistics. 89 (40.45 percent) of the 220 surveyed household heads were determined to be poor. The results of the logistic regression demonstrate that the household's head's education, age, house ownership, income, and household size are all important factors of the household's susceptibility. Interventions should aim to improve or initiate alternative income generating activities to increase the real income of households through well-paying and better job creation through the establishment of micro and small scale enterprises, and improving the use of family planning with increased economic and social infrastructure to reduce the vulnerability of female headed households. As a result, stakeholder interventions to address the determinant factors are important measures to take, as is strengthening economically and environmentally sustainable coping strategies.

Technical efficiency of local dairy milk processing in Kwara State, North Central, Nigeria.

&#x0D; &#x0D; &#x0D; &#x0D; This study examined the profitability and technical efficiency of local dairy milk processing in Kwara State using budgetary analysis and stochastic frontier model. Data set for the study was obtained through a randomly selected one hundred nomadic households in the state. The results of the budgetary analysis showed that local dairy milk processing was profitable in the study area with a net farm income of N683.25 per day. Results of the stochastic frontier efficiency model revealed the percentage efficiency to be 50-95 per cent with a mean of 76 per cent. The level of education of the nomadic household heads, the household size, as well as the years of experience in milk processing significantly reduced the inefficiency of local dairy milk processing in the study area. Improvement in the level of education of the milk processors will have positive implication on their technical efficiency.&#x0D; &#x0D; &#x0D; &#x0D;

Socioeconomic Position and the Cascade From SARS-CoV-2 Testing to COVID-19 Mortality: Population-Based Analysis of Swiss Surveillance Data

Background: The inverse care law states that disadvantaged populations need more health care than advantaged populations but receive less. Gaps in COVID-19 related health care and infection control are not well understood at present. We examined inequalities in health in the care cascade from testing for SARS-CoV-2 to COVID-19-related hospitalisation, ICU admission and death in Switzerland, a wealthy country strongly affected by the pandemic.Methods: We analysed surveillance data reported to the Federal Office of Public Health from March 1, 2020 to April 16, 2021 and 2018 population data. We geocoded residential addresses of notifications to determine the Swiss neighbourhood index of socioeconomic position (Swiss-SEP). The index describes 1.27 million small neighbourhoods of about 50 households, based on rent per square meter, education and occupation of household heads, and crowding. We used negative binomial regression models to calculate incidence rate ratios (IRR) with 95% credible intervals [CrI] of the association between ten groups of the Swiss-SEP index defined by deciles (1=lowest, 10=highest) and outcomes. Models were adjusted for sex, age, canton and wave of the epidemic (before or after June 8, 2020). We used three different denominators: the general population, the number of tests, and the number of positive tests.Findings: Analyses were based on 4,129,636 tests, 609,782 positive tests, 26,143 hospitalisations, 2,432 ICU admissions, 9,383 deaths, and 8,221,406 residents. Comparing the highest with the lowest Swiss-SEP group, and using the general population as the denominator, more tests were performed among people living in neighbourhoods of highest socioeconomic position (adjusted IRR 1.18; 95%CrI 1.02-1.36). Among tested people, test positivity was lower (adjusted IRR 0.75; 0.69-0.81) in neighbourhoods of highest socioeconomic position. Among people testing positive, the corresponding IRRs for hospitalisation, ICU admission and death were 0.68 (0.62-0.74), 0.54 (0.43-0.70) and 0.86 (0.76-0.99). The associations between neighbourhood socioeconomic position and outcomes were stronger in younger age groups, and there was heterogeneity between areas.Interpretation: The inverse care law and socioeconomic inequalities are evident in Switzerland throughout the care cascade. People living in neighbourhoods of low socioeconomic position were less likely to be tested but more likely to test positive, be hospitalised, or die. It is essential to continue to monitor testing for SARS-CoV-2, access and uptake of COVID-19 vaccination and outcomes of COVID-19. Governments and health care systems should address this pandemic of inequality by taking measures to reduce health inequalities in response to the SARS-CoV-2 pandemic.Funding Information: Federal Office of Public Health, Swiss National Science Foundation (grant 189498), European Union Horizon 2020 (grant 101003688).Declaration of Interests: The authors declare no competing interests.Ethics Approval Statement: We conducted this research using surveillance data according to the Swiss law on communicable diseases (EpG, SR 818.101). No ethical approval was required.

Sistem Pendukung Keputusan Kelayakan Penerima Program Keluarga Harapan (PKH) Menggunakan Metode TOPSIS dan Metode WP

Program Keluarga Harapan (PKH) is a program from the Indonesian government in the form of providing conditional social assistance to families or poor people who are registered in the integrated data for the poor handling program. As for recipients of assistance can be assessed from several criteria including building area, type of floor, type of wall, defecation facility, source of drinking water, source of lighting, type of fuel for cooking, frequency of buying meat and chicken in a week, frequency of eating in a day , The number of sets of new clothes purchased in a year, access to health centers, access to employment, the latest education of household heads and ownership of several assets. In this study will build a decision support system with calculations using the Technique For Orders Reference by Similarity to Ideal Solution Method (TOPSIS) and Weighted Product Method (WP). Then the final results of this study can be used as an alternative priority for the government in sorting based on the calculation results of the criteria of each family or PKH beneficiar

DETERMINANTS OF FOOD INSECURITY STATUS OF FISHERIES COMMUNITY IN COASTAL REGIONS OF BANGLADESH

Food insecurity is a notable state of the well-being of people. However, the common determinants of food insecurity have nevertheless to be formally known, especially for the coastal region. This study aims to investigate the demographic and socio-economic determinants of food insecurity of the fishermen communities in the coastal areas, namely Galachipa, Kalapara and Dumki upazilas in Patuakhali district of Bangladesh. A two-stage cluster sampling technique has been used for getting the primary data (n=200). The food insecurity status was measured by using Food Insecurity Experience Scale (FIES) suggested under the indicator of 2.1.2 of the Sustainable Development Goals (SDGs). Logistic regression model has been used to identify the determinants of food insecurity status. Results reveal that families having larger number of members are more likely to be food insecure than the families with small numbers of members. Also, households having monthly income level below BDT 5000 are more food insecure than their counterparts. Another important determinant by which food insecurity is significantly affected is the education of household head. A range of viable policy interventions for the fishermen communities have been recommended. These include i) diversification of income generating opportunities, ii) improving education status of the community to enable to shift to safer employment when necessary, iii) building awareness on adverse effects of bigger family size through family planning campaign, and iv) providing skilled based training and necessary credit access among the unemployed members of the household.

ADAPTATION TO CLIMATE CHANGE BASED ON FARMERS’PERCEPTION: A STUDY ON INDIGENOUS HILLS CULTIVATORS IN NAGALAND, INDIA

Climate change is believed to have severe impacts on different sectors of an economy especially the agricultural sector. The adverse impact of climate change, however, can be mitigated if farmers have awareness and better level of adaptive responses. This study examines the perception of farmers belong to indigenous communities in the state of Nagaland of Northeast India on climate change and analyzes their adaptation responses to climate change. A hundred and twenty farming households were interviewed during July and August 2019. The study employed the Heckman sample selection model to analyse the two- step process of adaptation to climate change. Farmers’ perception of climate change was significantly related to the age of the head of the household, level of education, and past experience of drought and flood. On the other hand, adaptation to climate change is determined by education of household head, economic status, and access to credit, type of cultivation, non-farm income, farming experience, distance to market, and past experience of climatic hazard

Determinants of Urban Poverty in Oromia: A Case Study in Some Selected District, Ethiopia

The study was conducted in south west Shewa zone districts, Oromia National Region, Ethiopia. Stratified sampling techniques were applied in order to obtain a representative sample were selected to collect data by using these strata since in study there were constituted 3 urban areas were selected from a total of 4 towns in Waliso districts. Based on this condition sampling will be conducted separately in each subgroup or stratum. Descriptive statistics and binary logit were employed to determine factors that influence the economic status of households. A sum of twelve explanatory variables for the binary logit model was used, out of which eight variables were found to significantly affect the economic returns of households at 5%. These are: household family size, education of household head, the gender of household head, marital status, age of household head, , income of household head, house ownership, previous residence, and four of the following were at 10% like household health status, household head occupation, dependency ratio and saving of household and the other variables like household health status, household head occupation, and dependency ratio were not significant at a maximum of 10% significance level . The study recommends that the strong negative relationship between income and the probability of being poor point out that there must be a need to consider households income character by government and non-government organization in designing policies targeted to curb urban poverty intervening to household health status, household head occupation, dependency ratio and saving of household. Keywords: Rural poverty, Binary Logit Model, Waliso district. DOI: 10.7176/JPID/56-03 Publication date: November 30 th 2020