جستجوی مقالات مرتبط با کلیدواژه « poverty » در نشریات گروه « جغرافیا »

Good governance means leading and managing society in a measured, correct and efficient manner and within the framework of the law, along with accountability and responsibility that depends on the interaction of citizens and political and social forces of civil society with the government. The present study aims to evaluate the effects of governance. It has been done well in the sustainability of the villages of the western Bedoustan of Herris County.

This study was applied in terms of purpose and descriptive-survey in terms of data collection. The statistical population studied was 4,828 heads of households in the villages of Ahmedabad, Sakhsalo, Shamlo, Jangour, Sheikh Rajab, Merkid, Sarai, villages of the western Badostan dehistan of Heris city. The sampling method was multi-stage, for this purpose, the villages of Badostan Gharbi were divided into three classes in terms of the number of households, and seven villages were randomly selected from each class, in proportion to the number of villages, and then the heads of the households were selected using the sampling method. They were selected and studied using a stratified method with proportional assignment. To determine the sample size, the Krejci Morgan table was used. The sample size of household heads was 357. The measurement tool was a questionnaire. Questionnaires were examined in terms of validity and reliability. Cronbach's alpha coefficient was used to measure reliability.

The inferential findings of the research indicate that in examining the eight indicators of good governance; The index of collective agreement and efficiency and effectiveness with an average of 3.19 got the highest weight, and the village of Sheikh Rajab got the lowest weight in the index of participation and the village of Shamlou in the index of central justice with an average of 2.30.

One of the main problems that Iran faces in the development program in the field of urban development is the problem of poverty. The production of poverty and the gap between the rich and the poor, which has always increased in our age, is the result of a bigger machine, which inherently produces poverty.

whose foundations are based on Heidegger's phenomenological method. The phenomenological method is based on the researcher's understanding based on objective and meta-objective data. For this purpose, the theoretical and philosophical foundations of the management model of the capitalist system were first examined. Then, the hierarchical pattern of Iran's administrative structure was examined by relying on physical components. Finally, the problem of poverty in Iran's cities was investigated. And the reason for the increase in the gap between poverty and wealth in these cities was investigated. Then the structural factors, planning and spatial economy that were involved in the increase in poverty and the increase in the gap between poverty and wealth were identified.

The findings of the research show that the hierarchical structure in the capital management system, which was implemented by Misra and Rosto in Iran, by giving preference to the cities, caused the reduction of the population of the villages and created poverty and inequality. Therefore, the structures that are chosen to manage the space are sometimes so effective that the results will be clearly manifested in the phenomenon of poverty and spatial inequality.

Increasing the share of cities' budgets in capital management has caused imbalance and increased poverty. Thus, seven provinces had less than the balance budget share and three provinces had zero balance and have spatial balance, and the rest of the provinces (20 provinces) received more than the balance budget share

The issue of poverty is not only one of the most important issues in the world but also one of the most important internal issues and problems of all societies, both rich and poor. In such a situation, the direction of the physical development of the city (its shape) is somehow affected by the phenomenon of urban poverty. Meanwhile, having a comprehensive study on the effects of poverty on urban morphology seems necessary. For this purpose, the current study was compiled to investigate and measure the impact of poverty on urban morphology in the Ahvaz metropolis. This research is applied-theoretical in terms of purpose and descriptive-analytical in terms of nature and method. In the current research, considering the nature of the hypotheses and the type of variables, the methods available in descriptive statistics such as absolute frequency distribution tables and mean, were used to examine and compare the information collected through the questionnaire, and in the inferential statistics section, the structural equation method (SEM) was used. Finally, SPSS and EQS software were used to analyze and apply these tests. The findings of this study show that the most influential and meaningful research indicators are related to the dimensions of legal problems with a mean of (3.74), geographical isolation and the number of involved decision-making institutions with a mean of (3.62). Each of them has had the greatest impact on the variable under study. In the next stage, economic activities with (3.04) and employment with (3.07), have had the least impact on the studied variable. The results of the structural equations indicate that there is a significant relationship between the components of urban poverty and the components of the physical-spatial structure of urban morphology; Therefore, carrying out the necessary measures, requires serious attention and a quick and logical plan of managers and urban and regional planners.

The phenomenon of poverty is a social, economic, cultural, and political reality that has long been one of the greatest human problems. The purpose of this study was to identify the factors affecting poverty and examine the internal relations and its leveling with an interpretive structural approach in the Imam Khomeini Relief Committee of Tabriz. In this regard, based on the factors extracted from literature, a questionnaire has been developed. In this phase, 41 indicators have been selected as the most important indicators affecting poverty at Imam Khomeini Relief Committee of Tabriz city. After obtaining appropriate validity and reliability for the questionnaire, it has been distributed among the statistical sample. After distributing the questionnaire, factor analysis was used to analyze the information and reduce the variables to dimensions. The results of factor analysis showed that about 68.3% of the total variance of variables was explained by 14 factors and about 31.7% of the variance was explained by other variables that were not measured. As a result, 14 factors have been identified as the most important factors affecting poverty. These 14 factors are important in order of importance: 1- Economic; 2- Social; 3- Individual; 4- Legal; 5- Family; 6; Environment; 7; Political; 8; Management; 9; Cultural; 10- Overseas; 11. Security; 12. Scientific; 13. Organizational; 14. Geographical. Finally, the interrelationships between factors and the leveling of poverty-related factors have been examined by presenting an extended structural-comparative model (ISM).

In recent years, researchers have analyzed migration flows using several experimental methods. This research has considered economic factors (per capita GDP, unemployment rate, and poverty intensity) and environmental factors (drought index (CI)) affecting internal migration in 31 provinces of Iran during 2011-2016. The results of descriptive statistics are displayed in the ArcMap software. Moreover, considering that the location dimension has been confirmed in statistical data on internal migration and explanatory variables based on Moran's I test and in spatial models according to rho and lambda statistics, after testing different spatial models, the SEM spatial model was chosen to examine the research model. For this purpose, GeoDa and Stata software were used. The results of the spatial regression of the cross-sectional data showed that the economic indicators of GDP per capita, unemployment, and poverty intensity have a statistically significant effect on net migration in the provinces of the country. Unemployment and poverty have a negative effect, and income (gross domestic product per capita) positively affects net migration in the provinces. These results are consistent with the economic motives proposed in neoclassical theories and relative deprivation theory in internal migration. Additionally, increasing CI (avoidance of drought) as an environmental factor has positively and significantly affected net migration in the provinces. By combining this result with descriptive statistics, it can be stated that migration is one of several potential strategies for households to deal with environmental changes (drought).

The average life expectancy in Iran has increased from 35 years in 1320 to 75 years in 1397 (Ministry of Health, Treatment and Medical Education, 1397) and the average population growth in Iran has decreased from 3.5% in 1365 to less than 1% per year. 1400 has decreased (National Statistics Center, 1400). Also, the population aging index in the rural areas of our country has reached 8.8% in 1401 and 9.1% in the city of Zanjan. The importance of examining the issues of the elderly is that these people, due to events such as reduced physical abilities, rejection, feelings of loneliness, and pressures Due to living in today's societies, which causes emotional and psychological disorders, they are exposed to increasing risks. In this regard, in the present research, the level of social health of the rural elderly will be examined and then the factors affecting its improvement will be evaluated.

The purpose of this research is to measure social health and some social factors affecting it. The theoretical framework of this research is based on the theories of Keyes, Baudrillard, Laycock, Berkman, Rose and Wu. The method of conducting this research is quantitative and survey type. Its statistical population includes villages with more than 5% of elderly population in Zanjan city, the number of villages with 5% or more elderly population according to the statistics of 1400 is equal to 39 villages, which according to the large number of villages based on the probability sampling method (lottery method) Keshi) 14 villages were selected as a sample, the number of elderly people in these villages is equal to 2147 elderly people. The size of the studied sample based on Cochran's formula is 384 people as stratified sampling proportional to the volume. Kibbs questionnaire was used to evaluate social health. This questionnaire has 33 items and has 5 sub-scales that include five components: social integration, the purpose of which is to assess the quality of the person's relationships in society with 5 questions (social acceptance), expressing the individual's understanding of the characteristics and traits of the people in society as a whole with 5 questions, social flourishing (expressing evaluation) The individual is about the direction of society and its potentials with 8 questions, social participation (indicating the individual's evaluation of his social value with 5 questions) and social adaptation (expressing the individual's understanding of the quality, organization and working of the social world with 10 questions) And it was made by Mr. Keyes in the MacArthur Science Foundation of the United States of America in 2004.

Descriptive findings related to the personal characteristics of the respondents show that the average age of the respondents is 65.41 years, the evaluation of the number of respondents shows that most of the respondents live in families of 1 to 3 people (65%). In terms of education status, the highest amount of education is related to the illiterate group with 39.14% and the lowest is for people with higher than diploma education with 1.41%. In terms of occupation, 34.27 percent of unemployed has the highest frequency and the occupational group of employee has the lowest frequency with 1.94 percent. The rank average of the health index is equal to 112.47, the standard deviation is equal to 10.24, the minimum score is equal to 75, the maximum score is equal to 150 and the average in the scale unit is also equal to 3.31. Variance and covariance show the paths of the research model. All regression weights are greater than zero and at 90% confidence level and more. This indicates the existence of a significant relationship between the observed variables. Accordingly, in the economic factors, indicators of land ownership, retirement income, funds sent from the city and vehicle, in the individual factors, the indicators of age, the number of diseases, the amount of internet use, and marital status, and among the social factors, leisure time and social trust. And the sense of security affects the social health of the studied elderly.

This article has investigated the social health status of the elderly in rural areas by using a questionnaire tool and also investigated the factors affecting social health in the study area. The findings of the present research show that the social health status of the elderly in the study area is relatively favorable, meanwhile, the status of elderly men is more favorable than that of elderly women. Also, the results showed that emotional and financial support from children in the form of remittances has a significant impact on the social health of the elderly. The communication of the elderly with their grandchildren through virtual networks and the use of the Internet can effectively reduce the depression of the rural elderly and improve their social health. Also, the results show that economic assets are effective as a determining factor for improving the social health of the elderly, so that with the increase in the income of the elderly and also the access to land ownership, the level of social health of these strata increases.

The goal of the current research was the short-term and long-term effects of energy consumption in the industrial sector on inequality. The present research method is descriptive and non-experimental. The statistical population was Iran's information and statistics, based on the requirements of the research variables and based on the available statistics, the data of the years 1361 to 1395 was determined as the statistical sample of the research. The amount of energy consumption (oil, gas, solid fuels and electricity) in the country's industries was used as an independent variable, and information related to the Gini coefficient, the share of the richest 10% to the poorest 10%, and the average index of the total annual income of an urban/rural household were used as the dependent variables of the research.. ARDL regression model was used in Eviews10 software to analyze research hypotheses. The obtained results showed that in the long term, the consumption of energy in the industrial sector has a significant negative effect, and the consumption of electricity in the industrial sector has a positive and significant effect on the Gini coefficient. In the long term, the consumption of solid fuels and electricity in the industrial sector has a negative and significant effect on the share index of the richest 10% to the poorest 10%. Also, in the long term, the effect of consumption of petroleum products and electricity has had a significant positive effect on the average income of urban and rural areas. Energy consumption in the industrial sector of a country can help to reduce poverty in the country by increasing the income of the working class and the lower deciles of the society and make the distribution of income fair. In this context, cheap energies have had a better effect, but expensive energies have provided contradictory results.

Forests as one of the basic renewable resources they play an important role in creating a suitable platform for the development of economic and social activities. The role of the forest in maintaining water, soil and the balance of different ecosystems is very clear and effective from the economic point of view. Iran due to being located on the dry belt of the world, it is poor in the field of forest cover and it ranks among the last forested countries. The forests of Zagros, as the largest vegetation area of Iran and with an area of 5 million hectares, have about 40% of the total forests of Iran. These forests play a very important role in water supply, soil conservation, climate adjustment and economic and social balance in the whole country. The economic and social conditions governing this vegetation area have caused the residents of the forest areas to depend heavily on the forest resources of these areas to meet their livelihood needs. In many cases, it is stated that poor people in forest areas destroy forests because they have no other means of livelihood except the environment therefore, protecting them is very important. Therefore, the main goal of this research was to investigate the effect of rural poverty on the destruction of Zagros forests. The current research is of applied research type and in terms of analytical-descriptive research method and in the form of documentary-library study and scientific resources. The findings of this research showed that the low economic level of the village and the low income of rural households is one the reasons for the destruction of Zagros forests. Therefore, in this research, in order to reduce the amount Zagros forests, it is necessary to implement poverty alleviation policies in order to reduce the destruction Zagros forests.

Due to the importance of the subject, the purpose of this study is to investigate the spatial urban poverty and also to identify the factors affecting the spatial organization of this phenomenon in Tabriz. In this regard, the research method is applied in terms of purpose and the approach is governing spatial analysis. For this purpose, were used to to analyze the research information the nearest neighbor index (NNI) and Hot Spot Analysis in GIS software, as well as the structural equation analysis model in AMOS software. Findings show that the slums of Tabriz have spread in the center, suburbs and west of the city and the distribution of these zones based on the Z index has been clustered. On the other hand, can be seen the spatial duality of poverty between the east and west of the city and the marginal and central areas. Also, factors affecting the expansion and spatial organization of the poor areas of the city can be seen in the macro level to the variables of discriminatory and impoverished mechanisms based on the unfair distribution of power, wealth and income and increasing class distance between different strata and at the micro level to the variables of increasing population. And the inefficiency of the official land and housing markets of Tabriz pointed out that the value of these variables based on the structural model is 0.83, 0.77, 0.69 and 0.63, respectively.

The present study aimed to investigate the effects of deprivation alleviation programs on promoting social and economic sustainability in Qaleh-Ganj as a pilot for the country's resilient economy. The research method in this study was conducted through library studies and field investigations. The statistical population of this study was all individuals in Qaleh-Ganj, which is approximately 80,000 people, and simple random sampling was used to determine the number of selected individuals. The necessary information for obtaining results was gathered through a researcher-made questionnaire. Cronbach's alpha was used to determine the reliability of the questionnaire, and content and exploratory validity were also investigated. Data analysis was performed using the SPSS statistical software through correlation and regression tests. It should be noted that the morphology of the city under study and the structural analysis of Qaleh-Ganj were examined to analyze the data. The findings showed that the assumptions related to the tests are appropriate. Deprivation alleviation was estimated to have a correlation with economic dimensions (savings, credits, income, employment, and insurance) of 0.73, 0.71, 0.61, and 0.39, respectively. Social dimensions, including networks, social participation, and social cohesion, were estimated to have correlations of 0.67, 0.79, and 0.61, respectively, with deprivation alleviation. The capacity and potential of the city had a coefficient of 0.67, indicating that they significantly influenced the success of deprivation alleviation programs. Therefore, deprivation alleviation in Qaleh-Ganj is a function of the potential and existing capacities at the city level and its sphere of influence, and investment must be made to reduce poverty and deprivation by focusing on these potentials.

The main sustainable challenges in inefficient urban textures are economic, social/ cultural, physical and spatial poverty of the residents of these textures. Applying empowerment strategy when facing with urban poverty is one of the approaches of so many cities. The poverty of inefficient textures reflects shortcomings and failures of government policies and official market and is considered among main factors of anomalies in urban relations. The presents study aims at providing probable scenarios for the empowerment of the inefficient poverty texture of Abadan Naft Shahr in 1420 horizon by identifying strategic and key effective factors. The data of this study achieved by mixed method of interview with the experts and Delphi method and the main factors were detected, cleansed or mixed in two steps. At last, 50 factors and main processes detected and their mutual effects gathered through questionnaire and analyzed by Micmac. Finally, 15 factors identified as strategic and key propellers. Next, the empowerment scenarios of the poor residents of Abadan Naft Shahr inefficient textures were identified by mixing Cross Impact Analysis method and Scenario Wizard. The number of 15 scenarios enjoy very high intensity in the probability of occurrence so that the score of these 15 scenarios ranges 17 to 25, finally after validation by the experts, Four scenarios were created. Then the state of each scenario was drawn by graphical model in GIS considering the extracted indices. It seems that the state of two main corruption and the price of house indices will increase in all mentioned scenarios. Even the most optimist analyses don’t predict a kind of management in political-economic field free from corruption in Abadan Naft Shahr.

Acquisition is the starting point for the growth of knowledge and people and the movement of societies towards sustainable development. For this reason, societies with a lower education rate face more problems in today's world, and their movement is towards progress.

Purpose of the research:

 The research aimed to find the factors affecting the dropouts of second-year high school students in the nomadic areas of Mahenshan County, Zanjan Province.

The type of research is applied and descriptive-analytical. The statistical population of the research is the students who left school in the nomadic areas of Mahenshan County, where 127 school dropouts were selected as a sample. The collection method was library and field (questionnaire), and descriptive and inferential statistics (exploratory factor analysis and Friedman's test) were used to analyze the information.

Geographical area of research: 

The research scope includes the nomadic areas of Mahneshan.

The research findings show that economic factors with a specific value of 5.109 and a justification percentage of 25.5% are the most important factors in the dropout of students in the nomadic areas of Zanjan province.

Friedman's test showed that the highest scores are related to economics and the lowest are related to individual and family educational dimensions. Also, according to the test statistic and significance level, there is a significant difference between the ranks of the indicators. The lack of suitable educational facilities is another effective factor in students dropping out of school. Following them are the issues such as experienced and capable teachers in conveying lesson materials and topics to students, the existence of weakness in teaching methods and relying on reservations, teaching the crowd in the classroom, educational programs and educational assistance, the distance of the school from the place of residence.

The city's livability largely depends on its capacity to meet the residents’ basic needs. One of the essential components of public welfare is the ability of residents to access urban services on a neighborhood scale. This research aims at evaluating the accessibility of different socio-economic groups to urban services. Fair distribution of urban resources and services among socio-economic groups is an issue that needs attention, especially for developing countries with rapid urbanization like Iran. In this research, various methods have been used to analyze the correlation between accessibility to services and urban poverty and to provide the information needed for better decision-making. 21 social, economic, and physical indicators of statistical blocks have been used to map urban poverty. In order to map the accessibility of urban services, criteria such as the capacity of urban services (park, educational, religious, therapeutic, and sports), population density, and distance to services are considered. The results show a negative correlation between accessibility to services and urban poverty in Urmia city. The highest intensity of negative correlation between accessibility to services and urban poverty belongs to educational services (r=-0.231). This situation is not compatible with the goals of sustainable development and equal access to urban services. In this article, the areas of the city that need attention are identified on the map, which will be useful in the future planning and development of the city.

Urban poverty is one of the biggest and most important challenges facing modern society. This phenomenon has negative physical, economic and social consequences for the city and its residents. Therefore, identifying the constituent factors and how they are distributed at the city level is an excellent help for urban management and planning. The research aims to analyze the spatial distribution of poverty indicators at the level of the statistical blocks of Hamadan City. The current research is applied in terms of purpose and descriptive-analytical in terms of method. The poverty indicators were extracted based on the raw data of the statistical blocks of Hamadan City in 2015. The exploratory factor analysis method was used to better identify the effective indicators in urban poverty and form a new structure for it. The result was the reduction of 18 poverty indicators to 4 main factors, which explained 62.8% of the cumulative variance. To perform spatial analysis, the hot spots method was used in the ArcGIS software environment, according to which the most important areas of poverty are concentrated in the northeastern, eastern and western parts of Hamedan, and the prosperous area is concentrated in the central and southwestern parts. In total, the poverty zone occupies 27.36% of the room and 48.84% of the population, the prosperity zone occupies 20.47% of the site and 7.85% of the city's population, and the rest of the city space is located in the middle zone. Also, using Geoda software, the spatial autocorrelation of the city's poverty was investigated at the area level. Moran's statistic with a coefficient of 0.677 showed that the spatial pattern of poverty in Hamedan City has a cluster pattern with high concentration

Poverty is a social, economic, cultural and political reality that has long been one of the greatest human problems. The diversity of problems, needs and problems of the deprived and low-income groups of the society and the multiplicity of poverty indicators on the one hand, and on the other hand the lack of financial resources and credits to solve the poverty indicators, organizations in charge of poor affairs, including Imam Khomeini Relief Committee Has faced serious challenges in the optimal allocation of resources. Therefore, the aim of the present study is to classify the clients of Tabriz Relief Committee from the perspective of livelihood poverty indicators, ranking these clusters in terms of cost and finally allocating productive and optimal resources for each cluster. In this way, with the least resources, a wide range of the needy benefit from these resources. To do this, with cluster analysis of data extracted from the system, 700 clients of Tabriz Relief Committee have been clustered from the perspective of livelihood poverty indicators and K-mean method. The results of this study were a cluster structure consisting of 10 clusters, which according to the characteristics of the clusters, titles for the clusters were considered. Finally, in order to rank the clusters, a multi-characteristic SAW decision-making method has been used. The research findings show the difference between the effectiveness of allocation in clustering method compared to other traditional methods.

Identifying the influential factors in crime hotspot formation is necessary for managers and planners and the development of appropriate strategies to improve security in cities. Accordingly, the purpose of present research is ranking the factors on crime hotspot formation and the impact of poverty on the generation of these geographic centers in the new city of Hashtgerd. 

The present research is applied and descriptive-analytical in terms of method. The statistical population includes the legal limits of the new city of Hashtgerd in 2020. The sample size through the Cochran's formula is equivalent to 400 people. The validity of the study has been confirmed according to the opinion of experts and its reliability is verified through Cronbach's alpha (more than 0.7). Friedman test, Pearson Chi-Square, Likelihood Ratio, Kendall’s tau-b, Spearman and kernel density estimation were used for data analysis. Research data has analyzed in SPSS and Arc GIS software and Crime Analysis software. 

According to Friedman test, economic factors have the highest impact on crime in the new city of Hashtgerd which are included poverty (with an average of 19.70), unemployment (19.25), income inequality (19.12) and housing mobility (17.21). The spatial distribution of crime is clustered and most crime has occurred in new and poorer expansion phases. 

According to the results of Pearson Chi-Square, Likelihood Ratio, Kendall’s tau-b, Spearman, there is a high degree of correlation between the formation of geographical centers of crime in city areas and variables such as poverty, lack of public transportation, ethnic and cultural diversity, residential mobility and defenseless urban spaces.

Implementing subsidies targeting policy in Iran is one of the measures aimed at reducing poverty, reducing the class gap between different deciles of society and especially improving economic indicators in rural areas. The present study aimed to evaluate the effects of subsidizing targeting on poverty and instability of rural households. This research is a fundamental exploratory and descriptive-analytical research. The required data were collected through both field and document methods. In this study, first, the research indices in two 6-year periods, before subsidizing targeting (2005-2010) and 6-year period after subsidizing targeting (2011-2016), were studied in all villages of the country and the average of each The index was compared before and after the targeting of subsidies and then the results of this section were compared with those of field research in the sample studied. The statistical sample of this study consisted of 22 villages of Neyshabur villages were selected by systematic random sampling using Cochran formula. The results of the study showed that the implementation of targeted subsidies has, in the first place, raised inflation rates and in some years even surpassed rural inflation over urban inflation. It has also led to changes in the composition of household expenditures, changes in the composition of household food expenditures and non-food household expenditures. But the implementation of the plan, because of the high rate of household benefit from the project, ultimately increased household income and also created a new source of income for rural households. But the implementation of the plan, because of the high rate of household benefit from the project, ultimately increased household income and also created a new source of income for rural households.

Poverty is one of the most important issues in today's cities. Studies have shown that the issue of poverty is not simply related to income shortages, but also means the inability to get out of poverty.

Aim of the study:

 The purpose of this study is to investigate the poverty situation in a comprehensive way by Alkheimer and Foster method in Kermanshah province.

This research is an applied type that has been done by descriptive-analytical method. In this study, the dimensions of the poverty index are similar to the multidimensional poverty index of the human development reports of the United Nations Development Program and the data used in this study are taken from the general population and housing census data of the Statistics Center in 2016. The statistical population of the study includes Kermanshah province and its sub-sectors including cities, rural and urban areas.

The results show that 2.77% of the households in the province are poor and their severity of poverty (A) is equal to 2.79%. Also, the adjusted census (MO) ratio is equal to 3.93. On the other hand, the rate and severity of poverty in urban households is higher than rural households. 55.5% of urban households and 1.22% of rural households are poor. The severity of poverty in urban households is 1.63 percent and in rural households is 1.16 percent. Finally, urban and rural areas of Kermanshah province were compared based on the amount and severity of poverty.

According to the results of urban areas, the cities of Ravansar, Songhar, Kangavar and Hersin, which have the lowest poverty, are in the first floor. The cities of Gilan-e-Gharb, Dalahou and Thalas Babajani were located on the second floor, and Kermanshah, Islamabad, Javanroud and Sahneh were located on the third floor and the rest on the fourth floor.

Nowadays, cities are places for the economic development of societies, and as cities have human existence, they are one of the challenges of the fight against poverty to provide the proper infrastructure for economic growth and promotion. Focusing on enhancing multidimensional welfare indicators can minimize issues such as economic and social inequalities in the city. The aim of this study is spatial analysis of socio-economic inequalities of Zahedan based on multidimensional welfare indicators. In this study, multidimensional welfare indicators were measured in 55 dimensions in two dimensions of material welfare. In order to spatial analysis of multidimensional welfare indicators after normalization, welfare differences in urban neighborhoods were calculated and the results were prepared in the form of difference coefficient maps. Finally, the relation between the level of welfare and the coefficient of difference was evaluated using Pearson's statistical test. The results showed that the neighborhoods with the more welfare are located in district one and five in southwest of Zahedan and the north and south suburbs of Zahedan are in more undesirable condition than other urban areas. The results of correlation test between multidimensional welfare level and welfare difference coefficient also show that at alpha level of 0.1 there is only significant relationship between non-material welfare and housing components, access to services, infrastructures and facilities and knowledge with their difference coefficient. However, at Alpha level of 2 there is a significant relationship between material and immaterial welfare and housing components, access to services, health and knowledge with their difference coefficient.