Housing Stock Research Articles

Features and prospects of using additive technologies in architecture

The article considers the features of the use additive technologies in architecture, which in the future will have a significant impact on the revolutionary development of the construction industry. Exploring the prospects of additive technologies (3D printing) in architecture, this publication aims to determine its transformational potential in solving housing needs, promoting the sustainable development of Ukrainian cities and stimulating the innovative development of the construction industry. Considering the features of the use of 3D printing in construction and its diversity of use - the need for widespread implementation, taking into account all the advantages and disadvantages are substantiated. It has been established that the part of structures in the world fully or partially built using 3D printing technology is growing annually, which actualizes interest not only in the development of technology in general, but also in the experience of its use. Having analyzed the world experience of using additive technologies in housing construction, the prospects of this direction of construction in the reconstruction of Ukrainian cities have been established. The use of building 3D printers, thanks to the rapid process of erecting houses, will allow in a short time to increase the housing stock and rebuild the destroyed cities. Advantages of additive production are considered. One of them is the ability to create complex shapes and structures that would be difficult or even impossible to manufacture by traditional methods. In addition to the speed of construction, the advantage also - is eco-friendliness. The use of additive technologies can help reduce carbon emissions, especially if environmentally friendly materials are used. It is also possible to reduce energy costs for the construction and transportation of materials. Given these advantages, additive technologies are becoming an increasingly important tool in modern architecture, allowing architects and researchers to implement more ambitious and innovative projects.

Indoor air quality in naturally ventilated dwellings in Spain

This article presents the results of the exploratory study on indoor air quality in existing dwellings with traditional ventilation systems based on natural ventilation. A preliminary study of the most representative typology of the Spanish housing stock has been conducted and, based on it, twelve dwellings located in Madrid have been monitored in different periods. Monitored indoor air quality has been compared to that required in the regulations in Spain, the Código Técnico de la Edificación (Technical Building Code). According to the results of the research, 50 % of the monitored dwellings do not comply with the CO2-based air quality quantification offset in the regulations. Such non-compliance is primarily caused by high CO2 concentrations in winter, especially in bedrooms. These high concentrations and their seasonality are attributed to the interference of the occupant’s behaviour, influenced by weather conditions, that is affecting the efficiency of the existing natural ventilation systems.

Why don’t we consume energy more efficiently? a Lisbon Parish council case study

Introduction: Almost 50% of the European Union’s final energy consumption is used for heating and cooling, 80% of which in buildings. The European Commission recently issued the “Efficiency Energy First Principle,” a formal recommendation to EU countries prioritizing energy efficiency measures over other energy-related investments. Decarbonizing the aging housing stock represents a significant challenge to Southern Europe and the remaining Member States. This exploratory research aims to understand why Portuguese people fail to increase their energy efficiency; it then proposes potential interventions. Several studies have looked into the effect of technology-based and behavior-based strategies (individual, socioeconomic and demographic, as well as contextual factors) regarding residential energy consumption. Few, however, have brought all these factors together in one project as in this case.Methods: We used the integrative COM-B model to investigate three core influences of behavior, namely, capability, opportunity, and motivation in a qualitative analysis of a sample of citizens of one specific Lisbon, Portugal community. The Behavior Change Wheel model was then used to propose interventions that might promote energy-responsible behavior.Results: Our finding suggests that investments in structural strategies, and, above all, in behavioral strategies are needed to achieve efficient residential electricity consumption. Specifically, we found a lack of capability (i.e., people’s physical skills and strength, knowledge, and regulation skills) represented the greatest barrier to energy consumption efficiency. A lack of motivation (involving habits and self-conscious intentions or beliefs) was the least decisive factor in the adoption of efficient energy consumption behaviors.Discussion: We therefore recommend the following interventions: 1) training and enablement addressing residents’ physical capability (primarily the replacement of high consumption equipment); 2) training, restriction, environmental restructuring, and enablement would increase residents’ physical opportunity (arising from poor home insulation and citizens’ lack of financial resources to invest in energy solutions); and 3) education, training, and enablement to change psychological capability (regarding insufficient or confusing energy use information).

Implications of circular strategies on energy, water, and GHG emissions in housing of the Global North and Global South

As urbanization continues to surge, building materials are poised to become a dominant contributor to global emissions. Traditionally, the building sector has focused on mitigating “operational carbon” linked to a building's day-to-day energy needs, such as heating, cooling, lighting, and equipment usage. However, there has been a paucity of studies on the environmental impacts associated with building materials across a building life cycle. This paper addresses this gap by conducting a life cycle assessment of housing stocks in two diverse case studies: Montreal (Canada) and Lima (Peru). These cities offer a North/South perspective, highlighting the challenges, opportunities, and potential solutions for decarbonizing the housing sector. The study investigates the potential of circular strategies and investigates three scenarios: selective deconstruction (allowing for reuse and recycling), recycling, and landfilling. The results underscore the potential of selective deconstruction in significantly reducing the overall environmental footprint of residential buildings. In Lima, for instance, selective deconstruction, when compared to landfilling, can cut greenhouse gas emissions, water consumption, and fossil resource usage by a substantial 70%, 67%, and 69%, respectively. These findings offer valuable insights for decision-makers in construction materials and waste management, encouraging the adoption of circular economy practices through informed guidelines and recommendations.

Making the case for lead safe housing: Downstream effects of lead exposure on outcomes for children and youth

Lead based paint is a predominate source of lead exposure in children, which has a documented negative effect on their health and development. Despite public health efforts, the housing stock in disinvested neighborhoods in many cities continues to present significant risk of childhood lead exposure. In this article, we describe how a multi-agency integrated data system was used to document the impact of lead exposure on indicators of child and youth development as recorded in educational and human service systems. By tracking administrative data for two cohorts of Cleveland, Ohio children from birth to early adulthood and using rigorous matching methods to reduce confounders when comparing those with and without elevated blood lead levels, we document negative effects on developmental, behavioral and socio-economic outcomes due to early childhood lead exposure. The magnitude of disparities between individuals who had elevated blood lead levels (≥5 μg/dL) in early childhood, compared to their matched counterparts, is in the ranges of 20–40%. The analysis is framed by clarifying the context, assumptions and limitations associated with the use of administrative data. This type of information has been useful in illuminating the burden of lead exposure for children, families and youth serving agencies and engaging public officials, landlords and residents in initiatives to bring housing up to lead safe standards.

Analytical Review of the Software for Creating a City Information Model

Introduction. The article describes a forward-looking technology in the field of construction industry and urban management – CIM (City Information Modeling) – an information model of a city. Emergence of the information modelling have led to the possibility to create the 3D models not only of individual objects, but also of a city as a whole with its buildings, infrastructure, geological and environmental factors. But creation and maintenance of the city models require the software tools. The aim of the present research is to make a review of the available software, describe its properties and field of application. CIM application capacities are also defined. The tasks, which can be solved by means of such a model, are described. The result of using GIS technologies in creating a city information model with respect to the data on housing stock energy efficiency level is shown.Materials and Methods. Within the research, an analytical review of the existing software for creating an information model of a city was carried out, the works of the scientists, who contributed to the issue of urban modeling, were studied. The information sources useful for further research were identified. Geo-information systems ARC GIS 10.1 ESRI were used to create a city information model.Results. A city information model can be described as a replication of the historical and cultural, socio-economic and religious events and phenomena; the three-dimensional models, geo-information virtual systems created by means of the space-based processing and information technologies, including BIM (Building Information Modeling) and GIS (Geographic Information Systems). The software complexes, which function based on the analysis of the valid data and creation of design entities, are used to create the information models of the urban territories. The major companies importing the urban modeling software, Autodesk and Bentley, offer both BIM and CIM tools.Discussion and Conclusions. The term "Smart City" has become especially popular due to development of BIM technologies. This is an innovative approach based on the digital technologies application, which directly affects the activities and efficiency of provided services and rising the city living standard. For solving the thematic problems, there exist the focused technologies and tools of the modern urban environment development. The main task of the "Smart City" is enhancement of the comfort standard of the residents’ living. This task is solved by creating a city information model integrating the information about the terrain, buildings and structures, roads, green spaces, etc.

Analyzing the Impact of Public Housing Privatization on Immigrant Micro-Segregation in Milan

In several Western European countries, a significant share of social rental housing stock has been sold since the 1980s as part of government policies aimed at promoting homeownership societies. Research has shown that tenure conversion has contributed to increasing socio-spatial segregation of lower-income groups, with diverging spatial patterns of homeownership among immigrants. This paper examines the impact of recent public housing privatization schemes in Milan in relation to micro-segregation and peripheralization processes of foreign populations, which represent distinctive features of immigrant residential distribution in this city. By employing name analysis, an unconventional approach in segregation studies, I inferred the geographical origins of homebuyers and mapped their distribution across the city. The findings reveal divergent purchasing behaviors, whereby Italians predominantly acquire properties in semi-central areas currently undergoing urban regeneration. In contrast, immigrants tend to concentrate their acquisitions in peripheral post-war public housing neighborhoods or in areas predominantly inhabited by residents with similar geographical origins. This paper contributes to the existing literature on ethnic residential segregation in Southern European cities by shedding light on the underexplored role of public housing privatization policies in shaping specific residential patterns and housing outcomes among different groups.

THE EFFECT OF SELECTED MACROECONOMIC VARIABLES ON THE HOUSING PRICE INDEX IN TURKEY

This study investigates how the house price is affected by macroeconomic variables such as interest rate, exchange rate, money supply and inflation rate. Housing supply and housing demand determines house price. On the one hand, housing supply dimensions covers contruction cost, existing land, housing stock. On the other hand, housing demand dimension involves interest rate, consumer price index as the indicator of inflation, income, population growth and employment rate. In order to measure the effects of macroeconomic variables more accurately, the housing price index variable determined by the Central Bank was used. Depending upon monthly data for the period 2010-2023 in Turkey, VAR models are used. In this way it is intended to find the direction and degree of the effect of selected macroeconomic variables on the house price index by performing impulse response function and variance decomposition analysis. According to this analysis findings, interest rate and exchange rate had a significant effect on the house price index. In line with the results obtained after the variance decomposition analysis, it was determined that the interest rate had a 19% effect and the exchange rate had a 14% effect on the house price index at the end of the 10th period.

An examination of the growth of Airbnb in New Zealand and its impact on the private rental housing market: 2016–2021

AbstractAirbnb is an online platform connecting private hosts with visitors looking for short‐term accommodation. The aim of this paper is to examine the impact of Airbnb on long‐term rental housing availability and cost in Aotearoa New Zealand before and during the COVID‐19 pandemic. Regional growth patterns in Airbnb properties were measured and their impact on the private rental market investigated. An increasing proportion of new rental housing was offered through Airbnb over the study period, particularly in popular tourist locations. Increasing occupancy rates pre‐pandemic suggest that there remains room for growth, putting further pressure on the private rental housing stock.

Energy Demand Reduction for Nigeria Housing Stock Through Innovative Materials, Methods and Technologies

Energy utilisation has recently become a highly sought-after commodity on a global scale. This situation is not limited to Nigeria, where the national grid’s supply of electricity has been severely inadequate. This has hampered the country’s ability to meet the mounting needs of its large population and expanding economy. Aside from the global challenges of rising energy costs and environmental disasters, a number of factors such as a lack of interest in indigenous building technologies and materials have contributed to the Nigerian construction industry’s slow pace of meeting energy demand and achieving energy efficiency. This study investigates the possibility of achieving energy conservation through innovative materials, methods, and technology to increase energy efficiency and minimise energy demand in Nigeria’s residential housing. The objective is to determine the variables that influence energy usage in residential house design, select methods and technologies to reduce energy demand, and assess the best materials and processes. A quantitative approach to data collection was used by distributing questionnaires to respondents in the Minna metropolis. A hundred and forty (140) question- naires were distributed, and 117 of them were returned. Secondary data were obtained from literature reviews, journal articles, and conference papers. According to the findings, the most energy efficient residential buildings would result from the appropriate use of innovative ma- terials, methods, and technology to reduce the energy demand of the building. In order to decrease energy demand, the study suggests that built environment professionals should focus largely on changing energy-consuming devices and their end uses for energy efficiency. It concluded that, in order to reduce overlap between the applications of these elements and bet- ter meet the needs of building occupants in terms of energy usage in Nigeria, energy demand should be considered from the design stage.

Flexibility and Conversions in New York City's Housing Stock: Building for an Era of Rapid Change

Post-COVID, New York City faces reduced demand for commercial space in its central business districts, even as residential demand is resurgent. Just as in past eras of New York’s history, conversion of commercial spaces into housing may help the city adapt to these new market conditions and provide an additional pathway for producing badly needed housing. If 10 percent of office and hotel spaces were converted to residential use, around 75,000 homes would be created, concentrated in Midtown Manhattan. However, there are considerable obstacles to such conversions, including a slew of regulatory barriers. Allowing greater flexibility in building uses—including by reducing the distinction between short- and long-term use and rethinking the separation of uses embedded in the city’s zoning code—could help facilitate these shifts.

Energy efficiency improvement in multi-family houses in Kosovo

Energy efficiency analysis for space heating is based on MESP Regulation no. 04/18 for Minimum Requirements for Energy Performance of Buildings according to the reference model M-Type R. The M-Type R model represents the building reference model for buildings built from 1960 to 2017, M-Type A: E. The study is conducted on the comparison of UA: E [W/m2K] heat transfer coefficients for the envelope surfaces of multi-family houses (walls, exterior doors, and windows, basement, and roof) according to years of construction with UR [W/m2K] based on heat transfer coefficient as well as the ratio of specific heat coefficients UA: E/UR [-]. For these buildings are presented depending on the construction periods: the number of buildings, the number, and area of housing units as well as the types of materials used to build their enclosure. The analysis of energy savings for heating is done considering only the heat losses in the building envelope (transmission losses). By the obtained results it can be concluded that the consumption of energy for heating is too high and with the measures for energy efficiency for heating there will be savings of energy for heating as well as reductions in CO2 emissions per stock of multi-family houses which is 2,125,776 m2, the number of buildings is 2,939 with 40,886 residential units.

ENSURING THE ECONOMIC SECURITY OF CUSTOMERS AND CONTRACTORS DURING THE ELIMINATION OF THE CONSEQUENCES OF ARMED AGGRESSION

Ukraine is trying with all its might not to sink under the weight of the war. In the event of hostilities, the construction industry, like other sectors of the economy, found itself in a difficult situation, on the verge of collapse. Nevertheless, the Ukrainians could not be defeated, and most of the Developers resumed construction on the spot. The article is devoted to the topic of ensuring the economic security of Customers and Contractors of the construction industry of Ukraine while eliminating the consequences of armed aggression, which reveals the global problem of restoring the wartime housing stock. The article presents the mechanism of movement of financial flows, which should also be taken into account during the post-war recovery. Previously existing methods were analyzed. Examples of current documents regarding the determination of issues of economic security of construction enterprises are given, in which various methods and tasks are applied. An approach for improving methodical support for economic security monitoring is proposed. Economic security in Ukraine is one of the most prioritized functional areas of security. This is the state of protection of the country's national economy from external and internal threats, which ensures the country's economic sovereignty, the unity of its economic space, and the conditions for the implementation of Ukraine's strategic national priorities. The construction sector occupies one of the leading places in the country's economy. It is a multifaceted and multifunctional structure. Any changes that occur in any of the interrelated sectors of the economy lead to a reaction from the market, which undoubtedly affects the construction sector. One of the main features of the modern industrial and construction sector is the ability to work in the face of threats to economic security. One of the main tasks facing the economy of Ukraine and requiring serious consideration is the implementation of measures aimed at stabilizing the work of construction enterprises, including design enterprises. A competently built system of ensuring economic security with the use of existing or built corporate resources is able to create the necessary conditions for achieving business goals and maximizing profits. It is not yet known how all the processes will proceed in the conditions of military and post-war conditions. Economic factors in the construction industry are regularly reviewed. And these questions remain unresolved and relevant to this day.

The right to housing as a component of the right to an adequate standard of living: issues of implementation amidst Ukraine’s housing stock destruction and solutions

This article presents a comprehensive analysis of the right to housing, framing it as an essential component of the broader right to an adequate standard of living. Situated within the context of international human rights norms, the article scrutinizes how these global standards influence and shape Ukrainian legislation. It argues that national laws should aim not merely to provide a basic minimum but to ensure a dignified standard of living that encompasses the full range of capabilities necessary for individuals to function effectively in society.
 The study delves deeply into the multifaceted nature of the right to housing, examining its various components and dimensions. It highlights the acute challenges that Ukraine faces in implementing this right, particularly in light of the extensive damage to the country's housing stock due to Russian aggression. The article emphasizes the pressing need for a holistic and multi-disciplinary approach to address the complex issue of restoring damaged housing and constructing new dwellings to replace those that have been destroyed.
 Furthermore, the article underscores the pivotal role that both the private sector and international aid organizations must play in Ukraine’s post-war reconstruction efforts. It posits that solving the housing crisis is not an isolated endeavor but is intrinsically linked to broader social protection mechanisms, issues of population displacement, and the overall quality of life for Ukrainian citizens. The study suggests that a multi-stakeholder approach, involving governmental agencies, non-governmental organizations, and international partners, is crucial for addressing the intricate challenges posed by the housing crisis.
 In summary, this scholarly article offers a nuanced understanding of the right to housing within the Ukrainian context, influenced by international human rights standards. It advocates for a multi-dimensional and collaborative approach to tackle the housing crisis, emphasizing the interconnectedness of housing with broader social, economic, and ethical considerations. The study serves as a valuable resource for policymakers, scholars, and practitioners interested in understanding and addressing the complexities of housing rights in post-conflict settings like Ukraine.

Сельские сообщества Якутии в условиях деградации многолетнемёрзлых пород: ключевые риски, социальные последствия, механизмы адаптации

During the period of global climate change, the territories of the Russian Federation, within which permafrost is widespread, are at particular risk. The aim of this article is to identify the social consequences of permafrost degradation on the example of a number of rural settlements in the Republic of Sakha (Yakutia) and to determine the emerging mechanisms of adaptation to the challenges associated with changes in the habitual state of the environment. In this regard, for the first time, the villages of Amga, Yunkur, Argakhtakh, Lippe-Atakh and Ulakhan-An, located in Yakutia, were the focus of relevant interdisciplinary research conducted during 2019–2022. The work in these settlements made it possible to establish local features of both the consequences of the degradation of permafrost and the specifics of their perception by the local population. It is noted that in the rural settlements studied, permafrost degradation limits the development of traditional economic activities, including among the Arctic and Subarctic indigenous population, limits the possibilities for the spatial development of settlements, leads to problems with the safety of the housing stock, and hinders transport communication. The observed changes entail an increase in the financial burden on the population, economic entities and local administrations, and negatively affect the social well-being of the inhabitants of the studied villages. At the same time, the conducted research allowed to reveal that the mechanisms of adaptation and sustainability of rural communities that are being formed in this regard are largely based on traditions of rural mutual assistance.

Identifying rural high energy intensity residential buildings using metered data

The residential housing stock in rural areas of the U.S. is often older and less energy-efficient than homes built in urban areas. To characterize the energy performance of these buildings and facilitate their energy efficiency upgrades, this study provides a framework for analyzing building energy time-series data to identify buildings with similar temporal energy performance patterns. Using an unsupervised hierarchical time-series clustering algorithm, this framework aims to identify highly inefficient buildings as strong candidates for energy efficiency improvement programs. Weather-normalized electricity and natural gas consumption data from 320 properties in the rural town of Bloomfield, Iowa, covering a six-year reporting period from 2014 to 2019 is used to optimally cluster energy consumption data into two groups, including average and high intensity energy users. To correct the underlying bias of the commonly used area-normalized energy use intensity (EUI) indexes towards smaller homes, the proposed clustering algorithm only compares the EUI of homes with similar floor areas. User types are defined for electricity and natural gas consumption separately to allow for tailored actions and policy recommendations. Accordingly, 5% and 7% of residences in the dataset were classified as high intensity users for electricity and natural gas, respectively. Of the remaining, 88% of homes were classified as average intensity users for both energy types. Only 2 properties in the dataset (less than 1%) were identified to be high intensity users for both electricity and natural gas. Homes classified as high intensity electricity and natural gas users, although smaller in number, were, on average, 44% and 30% more energy intensive, respectively, when compared to similar-sized average intensity consumers. The results also indicated that older homes are generally more likely to be high intensity natural gas consumers while a relatively higher percentage of newer homes were classified as high intensity electricity users.

Twin extreme learning machine based on heteroskedastic Gaussian noise model and its application in short-term wind-speed forecasting

Extreme learning machine (ELM) has received increasingly more attention because of its high efficiency and ease of implementation. However, the existing ELM algorithms generally suffer from the drawbacks of noise sensitivity and poor robustness. Therefore, we combine the advantages of twin hyperplanes with the fast speed of ELM, and then introduce the characteristics of heteroscedastic Gaussian noise. In this paper, a new regressor is proposed, which is called twin extreme learning machine based on heteroskedastic Gaussian noise (TELM-HGN). In addition, the augmented Lagrange multiplier method is introduced to optimize and solve the presented model. Finally, a significant number of experiments were conducted on different data-sets including real wind-speed data, Boston housing price dataset and stock dataset. Experimental results show that the proposed algorithms not only inherits most of the merits of the original ELM, but also has more stable and reliable generalization performance and more accurate prediction results. These applications demonstrate the correctness and effectiveness of the proposed model.

Energy affordability across and within 26 European countries: Insights into the prevalence and depth of problems using microeconomic data

The main aim of this study is to assess energy affordability across and within European countries, using microeconomic data from the European Household Budget Survey.Our results have shown great heterogeneity: the average energy burden ranges from 2.9% in Malta to 10.9% in Latvia, while the proportion of households with a burden above 10% is as low as 2% in Luxembourg and Malta, surpassing 43% in Hungary, Latvia and Slovakia. Affordability problems are concentrated among poorer households, as confirmed by negative concentration indexes in all countries analysed but are not restricted to the poorest - in 10 out of 25 countries, families in the second bottom income quintile also face problematic ratios. For families with affordability problems, the average burden might be extreme even in high-income countries like France, where it reaches 19%.Beyond the inequality analysis, the comparison of different metrics uncovered issues that would go unnoticed under single-indicator approaches. Baltic and Central-Eastern European countries experience higher prevalence and depth of energy burden problems accompanied by high rates of arrears. Mediterranean countries like Cyprus and Portugal do not exhibit great energy burdens but struggle with inadequate thermal comfort, raising concerns about underconsumption. Bulgaria and Greece stand out with worrying results across all indicators. The panorama is less heterogeneous across Europe regarding efficiency-related problems in dwellings.To be effective, measures should prioritise the most prevalent problems and consider their cross-cutting or group-restricted nature. In countries with more widespread and severe issues, solutions may require a co-financing by European Union. A common policy framework is needed to facilitate comprehensive and effective action, such as improving energy efficiency in housing stock and preventing the escalation of affordability problems due to the energy and climate crises, which disproportionately affect the most vulnerable households in Europe.

An investigation of municipal housing permit data for representation of the Canadian housing stock in building codes analysis

Development of energy codes requires an appropriate building stock representation. To this end, information available within municipal construction permit records (e.g., dwelling type, floor and footprint area, foundation type, number of above-grade storeys, availability of an attached garage, and number of bedrooms) represents an untapped opportunity. However, these records are often stored in a semi-structured fashion with relevant information scattered within free-form text description fields, which necessitates text analytics. This paper introduces a text analytics-based method, employing the association rule mining, for information retrieval from permit records to support building stock modelling process; and the method is demonstrated with permit records from small residential buildings in seven major Canadian cities comprising over 240,000 unique entries. The analysis highlights that detached housing is the most common housing type and the average dwelling floor area was between 174 and 266 m2. Each permit record is associated with existing Canadian housing archetypes. It is found that mid-to-large-size detached archetypes are more common than smaller row or semi-detached archetypes. A building performance simulation-based investigation revealed that assuming an equal weight for each archetype, instead of using the distributions identified from the permit records, causes an underestimation of the housing stock's energy use by 36%.

Analysis of the regional differentiation factors of indicators of electricity consumption by the population of Russia

In the article, the attitude of the population to energy conservation is considered as one of the characteristics of human potential. A strong differentiation of the indicator of electricity consumption by the population by countries and Russian regions is shown, a number of factors influencing the identified differences are analyzed. Hypothetically, the following seven factors are identified: climate; average per capita income of the population; rate of poverty; proportion of people with higher education; ratio of urban and rural population; age structure of the population; level of gasification of the housing stock. The information for analysis was taken not only from the federal statistical collections, but also for each region, that made data collecting very difficult. Correlations between the per capita electricity consumption by the population and these factors are determined. It is shown that people are more inclined to save their electricity costs than the electric energy itself, i.e. electricity tariffs for the population play a decisive role in stimulating energy saving. Per capita electricity costs have a positive relationship with average per capita income and a negative relationship with poverty rate. The rural population consumes less electricity per capita than the urban population. The impact of the population age structure on per capita energy consumption was found: the higher the proportion of the able-bodied population, the lower the electricity consumption, and vice versa, energy consumption is higher in regions with a larger proportion of the older generation. Due to the different levels of gasification by regions, the sample, formed from the regions with approximately the same level of gasification of the housing stock, was separately studied. The results of the correlation analysis of this sample turned out to differ little from the results obtained for all 85 regions. The exception was the relationship between the volume of electricity consumption and the level of higher education — in the sample there was a much closer negative relationship between these indicators.