Unemployed Individuals Research Articles

Prevalence of mental disorders and work ability among unemployed individuals in Germany: a register-based analysis of socio-medical assessments by the Federal Employment Agency between 2016 and 2021

BackgroundThe interactions between unemployment and mental health are complex. However, broad and current epidemiological data about the mental health status of unemployed individuals in Germany are scarce. This study aimed to evaluate the prevalence rates of mental disorders and work ability among all unemployed people who underwent socio-medical assessment by the Federal Employment Agency (FEA).MethodsSocio-medical assessments between 2016 and 2021 were taken from the FEA database and analyzed regarding sociodemographic characteristics, mental disorders and work ability. Standard descriptive statistics were used to analyze the data.ResultsA total of 4,249,028 unemployed individuals were assessed. Of these, 2,213,048 persons (52.1%) had at least one psychiatric diagnosis (mean age 40.6 ± 13.5 years, 51.7% female). Mood disorders (53.9%), neurotic, stress-related and somatoform disorders (43.9%), as well as substance use disorders (15.3%) showed the highest prevalence rates among mental disorders and accounted for about 80% of all psychiatric diagnoses. About 40% of them were evaluated to be able to work full time.ConclusionsPsychiatric morbidity among unemployed people is high. However, a significant proportion of them was assessed to be able to return to the labor market. Therefore, close collaborations between unemployment agencies and mental health care institutions as well as specific re-integration programs including supported job placement and vocational training, long-term job coaching as well as integrated mental health care are required in order to improve mental health status, prevent further chronification, avoid labor market exit, and increase employment rate.

Social assistance and non-agriculture employment in rural China: evidence from the Rural Minimum Living Security (Rural Dibao)

The Rural Minimum Living Security (Rural Dibao) is a crucial social assistance program designed to alleviate poverty in rural China. While non-agriculture employment plays a significant role in boosting farmers’ income and reducing long-term poverty, little is known about the impact of Rural Dibao on non-agriculture employment. This study uses data from the China Household Finance Survey (CHFS) and employs Propensity Score Matching with Difference-in-Differences (PSM-DID) methods to assess the effects of Rural Dibao on non-agriculture employment and to investigate the underlying mechanisms. Our findings reveal that Rural Dibao significantly increases the likelihood of recipients’ participation in non-agriculture employment and extends their labor supply in such jobs. The program primarily boosts temporary work rather than formal employment or self-employment. The increase in temporary employment primarily originated from transitions from agriculture work, rather than from previously unemployed individuals. Mechanism analysis suggests that government-provided employment information and recommendations serve as key drivers for increasing temporary employment, while cash transfers and job-seeking cash subsidies alone do not effectively promote non-agricultural employment.

Employability resources of unemployed adults: longitudinal effects of a group career intervention

IntroductionThis study evaluates the efficacy of a group-based career intervention designed to promote employability resources among unemployed individuals conducted in face-to-face and online modalities.MethodsEmploying a longitudinal quasi-experimental design, with two intervention groups and a control group, data was collected pre-, post, and two months post-intervention.ResultsConditional Latent Growth Curve analysis revealed a significant decline in employability resources over time, mitigated by both intervention groups. Human capital and professional development were key at baseline and follow-up, while social capital and networking were crucial post-intervention. Career identity self-career management, and environmental monitoring resources significantly contributed to employability post-intervention.DiscussionThese findings highlight the intervention’s effectiveness in counteracting the negative trend among the general population, underscoring the critical role of ongoing participation in career development activities for unemployed individuals. More empirical research on this type of initiative is encouraged, along with civil society taking responsibility for addressing the psychological challenges of unemployment.

Beyond public work-first support: long-term impact of a privately owned employment programme across educational levels

Some unemployed individuals may struggle to match their vocational skills with the current labour demand in a traditional classroom. Exploring alternative workplace approaches may be necessary. A Dutch multinational's vocational employment programme offers an alternative to traditional work-first support for vulnerable unemployed individuals, diverging from forced approaches tied to benefit receipt. This study examines the programme's long-term impact compared to work-first support by analysing post-programme job matches through observed-to-expected wage ratios while controlling for job tenure and contract types. Participants outperformed a work-first control group in improved job alignment up to 10 years. The long-term benefits on career development were particularly pronounced for those with lower education levels, while higher-educated individuals experienced better matches with extended transitions. Results underscore the value of human capital by offering them a temporary workplace in a reputable multinational firm for marginalised job seekers. Expanding such enterprise-led initiatives has the potential to disrupt precarious employment cycles, fostering lasting positive change in vulnerable workers’ careers.

Revealing the Complex Dynamics of Social Disparities in Personal Transit Availability Considering Human Mobility and Neighborhood Effect Averaging

Research on inequalities in transit availability typically focuses on fixed residential neighborhoods, ignoring the dynamic exposure caused by people’s daily mobility. In addition, the neighborhood effect averaging problem (NEAP), as a major methodological issue in mobility-dependent exposures, could lead to erroneous conclusions on the assessments of personal transit availability and social disparities. To address these limitations, this study uses large-scale travel survey data of 26,626 participants in the Chicago Metropolitan Area to evaluate personal transit availability in people’s daily lives and examine the dynamic social disparities across varying geographic contexts by considering human mobility and the NEAP. For the first time, we observe the presence of the NEAP in personal transit availability: Individual transit availability tends toward the average level of the study area when people’s daily mobility is considered. We also find that personal transit availability experienced by different social groups might exhibit varying extents of neighborhood effect averaging owing to differences in their mobility levels. This further contributes to the complex dynamics of social disparities in transit availability during their daily mobility, with some residential disparities being exacerbated (e.g., between gender groups, African American and White individuals), some maintained (e.g., between age groups, low- and middle-income groups, employed and unemployed individuals, Asian and White individuals), and some changing direction (e.g., between high- and middle-income groups). Our findings emphasize the importance of considering human mobility and the NEAP in mobility-dependent environmental inequality research and the formulation of related policies.

Public knowledge, attitudes, and perceptions toward genetically modified foods in Lebanon

ABSTRACT Genetically modified foods (GMFs) have garnered significant attention due to their implications for health, agriculture, and food security. Understanding knowledge and perceptions of GMFs is essential, as these factors influence acceptance and attitudes. This study, the first of its kind in Lebanon, aimed to assess the knowledge, attitudes, and perceptions regarding GMFs and to explore their association with socio-demographic characteristics. A cross-sectional study was conducted with 1,001 participants who completed a 50-item questionnaire, followed by a 15-minute educational session on GMFs. Statistical analysis was performed using SPSS. Prior to the educational session, participants had an average knowledge score of 60.3 ± 17.4%, which significantly increased to 83.0 ± 15.8% afterward. Attitude and perception scores improved from an average of 30.3 ± 25.1% pre-intervention to 38.9 ± 12.4% post-intervention. Females demonstrated significantly higher knowledge scores, and educational attainment was positively correlated with knowledge levels both pre- and post-intervention. Younger participants and those in health-related fields scored higher before the intervention, while unemployed individuals scored lower. Additionally, higher educational levels and health-related educational backgrounds were linked to better attitudes and perceptions pre-intervention, while unemployment correlated with lower scores. Interestingly, multivariate regression analysis indicated that being under 35 years of age, having a health-related educational background, and holding a university degree were predictors of higher GMF knowledge. Consequently, individuals with initially lower knowledge level benefited the most from the educational intervention, exhibiting the greatest knowledge increases post-education. Our findings underscore the importance of targeted educational initiatives to bridge knowledge gaps and address misconceptions regarding GMFs.

Unplugging Youth: Mobile Phone Addiction, Social Impact, and the Call for Digital Detox

This study investigates the impact of excessive mobile phone use on young individuals aged 14–35 in Kastoria, Greece. It explores how smartphone addiction affects daily life and social interactions. A survey with 30 closed-ended questions was conducted among 150 respondents from May to August 2019. Data were analyzed using descriptive statistics and chi-square tests, focusing on gender and employment status differences. Most respondents use their phones for over 5 h daily, primarily for social media and communication. Findings reveal high addiction rates, reduced productivity, and disrupted sleep. Women reported more difficulty disconnecting and a greater need for detoxification than men. Students and unemployed individuals showed higher addiction symptoms and negative productivity impacts compared to employed respondents. Excessive mobile phone use among young people poses significant challenges, including addiction and adverse effects on productivity, relationships, and sleep, influenced by gender and employment status.

Corticosteroid Phobia: A Key Barrier to Treatment in Young Women with Idiopathic Granulomatous Mastitis.

Corticosteroids are recommended as a first-line treatment for idiopathic granulomatous mastitis (IGM), a disease that usually occurs in young women. Corticosteroid phobia is a fear of corticosteroids and one of the main reasons for poor treatment compliance. Despite the increasing recognition of corticosteroid phobia, there has been a lack of studies on this issue in IGM. This study was designed to investigate the prevalence and degree of corticosteroid phobia in IGM patients. A cross-sectional survey was conducted among IGM patients who were receiving treatment at West China Hospital between June 2023 and December 2023. A modified version of Topical Corticosteroid Phobia Scale (TOPICOP) was used to assess the prevalence and degree of corticosteroid phobia in patients with IGM. Sources of drug information were also identified. Scores were expressed as mean ± standard deviation. Independent t-test was used to compare the TOPICOP item scores between different categorical variables. A total of 50 IGM patients were included in the present study. The median global TOPICOP score was 61.29 ± 11.71%. About 80% of patients represented with severe phobia, which their global TOPICOP score was above 50.0%. About 50% of participants showed fear of adverse effect of oral corticosteroids. About 89.6% of participants who received corticosteroid treatment showed their well to adhere to the doctor's advice. IGM patients with systemic symptoms were associated with higher scores in the behavior domain and/or global TOPICOP. Young, low educated, and unemployed individuals were more likely to have corticosteroid phobia (p < 0.05). There was no difference in the scores based on skin redness, abscess formation, ulcer or fistula, initial treatment choice, or monthly household income. Medical professionals were the primary sources of information about corticosteroid. Corticosteroid phobia was highly prevalent among the women with IGM, as well as the high treatment adherence. Women showed a high preference for non-corticosteroid therapies as alternative therapies. Providing more comprehensive and professional knowledge by physicians might be an effective method to attenuate corticosteroid phobia.

Psychological symptoms and loneliness in unemployed people diagnosed with mental illnesses.

Loneliness is a pervasive phenomenon that is linked to adverse health outcomes. Unemployed individuals with mental illnesses (UMIs) constitute a high-risk group, with substantial implications for both health and vocational (re)integration. This study aims to gain deeper insights into the relationships between psychological problems and symptoms of psychopathology and loneliness in UMIs. Our research is based on a sample from LIPSY, a project that aims to maintain or restore employability. Two regression analyses were conducted on a sample of unemployed participants diagnosed with a mental illness (ICD-10: F-code) with the outcome variable loneliness (UCLA). In the first analysis, age, gender, education, cohabitation status, and social network size (LSNS-6) were used as predictors; in the second one, the nine symptom dimensions (SCL-90) - (1) Somatization, (2) Obsessive-Compulsive, (3) Interpersonal Sensitivity, (4) Depression, (5) Anxiety, (6) Anger-Hostility, (7) Phobic Anxiety, (8) Paranoid Ideation, (9) Psychoticism -were added. Our sample included 397 participants with an average age of 35.8 years, 53.1% were female. The final regression showed significant positive associations between higher levels of education, Interpersonal Sensitivity, Depression, and the outcome loneliness, and a significant negative relationship between Somatization and loneliness. The high scores on all SCL-90 dimensions, and the links identified between Somatization, Interpersonal Sensitivity, Depression, and loneliness highlight the importance of psychological screening and/or diagnostics in this high-risk group and offer several starting points for prevention measures as well as interventions.

An exploration of individuals with sight impairment and their experiences with employment in the United Kingdom

There is a significant disparity between the percentage employed, of the general population, and those registered with sight impairment. In the United Kingdom, it is illegal for companies to discriminate against employees who have disabilities, and reasonable adjustments must be made by employers to prevent this from happening. This study examines factors that affect employment and explores participants’ experiences in the workforce who have sight impairments that cannot be corrected by glasses. Participants who were unregistered with sight impairment, registered with partial sight impairment, or registered with severe sight impairment completed a pre-tested online questionnaire. The aim of the questionnaire was to delve into participants experiences with employment. Results were analysed quantitatively, using descriptive statistics and correlation tests, and qualitatively, using thematic analysis. Eighty-eight participants were included, 53 of whom had severe sight impairments. The following factors were found to be associated with employment: a higher level of qualification (correlation coefficient 0.410, 95% confidence interval [CI: 0.213, 0.574]) and the ability to travel independently (correlation coefficient 0.321, 95% CI [0.113, 0.502]). Two types of support for employees were found: (1) adjustments in the workplace and (2) empathy from employers. Two types of barriers were found for unemployed individuals who are seeking employment: (1) employer discrimination and (2) a lack of self-confidence. This study highlights the factors influencing employment outcomes for individuals with sight impairment. In addition seen is the broadly positive impact that the perception of supportive employers has on people with sight impairment and supports solutions that require reducing employment-related barriers.

Machine learning algorithms for predicting unemployment duration in Russia

Predictions of the individual unemployment duration will allow to distribute target support while searching for a job more effectively. The paper uses survival models to predict the unemployment duration based on data from Russian employment centers in 2017–2021. The dataset includes socio-demographic characteristics, such as age, gender, education level, etc., as well as the job search duration. Two models’ forecasts are investigated: the proportional and the non-proportional hazards models. Both models take into account censored data, but only the second one captures nonlinear dependencies­ and the disproportionate influence of independent variables over time. The forecast quality is estimated with the C-index, equality of which to 1 indicates the most accurate forecast. The highest index value is demonstrated by the non-­proportional hazards model (0.64). Moreover, it was found that variable that contributes the most to the prediction quality is region of a job search so that job-search time is heterogeneous among different regional labour markets. To sum up, forecast quality is quite high and stable over time and the implementation of model forecasts by employment centers will increase their efficiency.

The effect of workability-related factors in patients with end-stage kidney disease undergoing hemodialysis

BackgroundThe disability of patients with end-stage kidney disease (ESKD) and the possibility of reducing the ability to work for patients who are receiving hemodialysis require extensive investigations worldwide. In this regard, we aimed to investigate employment status and its effect on a large group of work ability-related factors in these patients.MethodsA total of 191 patients with ESKD who were referred to the dialysis department of Guilan Educational and Medical Centers, Rasht, Iran, in 2023 participated. The demographic and occupational data, clinical characteristics, and laboratory findings of the patients were recorded. A work ability index questionnaire was used to record the ability to work.ResultsAccording to the results, 37.7% of people undergoing hemodialysis were employed, 45.4% of those who were not employed, lost their jobs before, and 54.6% lost their jobs after starting hemodialysis. Patients with lower values of work ability index found to be significantly older, illiterate, with lower job satisfaction and high frequency of absence from their job. Also, they were unemployed individuals with high rates of disability and no history of job change (P < 0.05 for all).Additionally, current unemployment, history of job changes, and packed red blood cell transfusion were predictive variables of the ability to work in hemodialysis patients (P < 0.001, P = 0.046, P = 0.046).ConclusionsOur results illustrated that the employment rate is low among patients with ESKD even before starting hemodialysis. Patients with higher age, less education, disability and anemia are at higher risk of weak ability to work.

Indoor residual spraying uptake and its effect on malaria morbidity in Ngoma district, Eastern province of Rwanda, 2018–2021

BackgroundIndoor residual spraying (IRS) has been implemented in Rwanda in districts with high malaria transmission, including Ngoma District. The first IRS campaign (IRS-1) was conducted in March 2019, ahead of the peak malaria season, followed by a second campaign (IRS-2) in August 2020, targeting 89,331 structures. This study assessed factors influencing IRS uptake and evaluated the impact of IRS interventions on malaria morbidity in Ngoma District, Eastern Province, Rwanda.MethodsA household survey employing multistage cluster sampling design was conducted in May 2021 to randomly select households. A structured questionnaire was administered to the head of household or a designated representative. Logistic regression, adjusted for the complex survey design and weighted for sampling, was used to identify factors associated with IRS uptake. Additionally, secondary data on malaria cases registered in the Rwanda Health Management Information System (RHMIS) from January 2015 to December 2022 were analyzed using interrupted time series analysis to evaluate the effect of IRS on malaria morbidity.ResultsA total of 636 households participated in the survey. Households headed by self-employed individuals (aOR = 0.07; 95% CI 0.01–0.55) and unemployed individuals (aOR = 0.18; 95% CI 0.03–0.99) were less likely to take up IRS compared to those headed by farmers. Households receiving IRS information through media channels (aOR = 0.01; 95% CI 0.00–0.17) were less likely to participate compared to those informed by community health workers. From the RHMIS data, 919,843 malaria cases were identified from January 2015 to December 2022. Interrupted time series analysis revealed that the baseline number of adjusted malaria cases was approximately 16,920. The first IRS intervention in March 2019 resulted in a significant reduction of 14,380 cases (p < 0.001), while the second intervention in August 2020 led to a reduction of 2495 cases, though this was not statistically significant (p = 0.098).ConclusionThis study demonstrates the effectiveness of IRS in reducing malaria incidence in Ngoma District and highlights the role of socioeconomic factors and sources of information in influencing IRS uptake. To maximize the impact of IRS and ensure equitable benefits, targeted strategies, enhanced IRS education, and integrated malaria control approaches, including the use of bed nets, are crucial.

Examining the potential impact of universal basic income on labor supply: Focusing on the South Korean models

AbstractOne of the most contentious facets of universal basic income (UBI) debates revolves around its impact on labor supply. Against this backdrop, this study aims to replicate how labor supply responds to changes in net income caused by the implementation of UBI. Using data from the 15th wave of the National Survey of Taxes and Benefits (N = 9342) and a discrete choice simulation model, this study estimated labor supply outcomes under two specific UBI models. The results suggest that UBI exerts minimal negative effects on labor supply among full‐time and part‐time workers and appears to encourage labor force entry among unemployed individuals. These findings offer empirical evidence on UBI's effects, suggesting it may support labor participation without substantial disincentives for employment.

Enhancing interpretability in random forest: Leveraging inTrees for association rule extraction insights

The random forest model is a powerful supervised learner, recognized for its ability to learn the pattern within data with superior predictive accuracy. However, it is a black box model because it lacks interpretability. This study addressed the interpretable challenge by employing the inTree framework. The rules were extracted from each decision tree in a random forest model, and the association rules were determined through measured matrix support and confidence to reveal the frequent variable interactions for predicting unemployment. This approach provided insight into the relationships between specific variables and unemployment outcomes. The developed method used data set from the integrated labor force survey (ILFS) 2020/2021 in Zanzibar. Zanzibar’s unemployment rate consistently increased across surveys conducted in 2006, 2014, and 2020/2021. Results have shown that the rules that most predict unemployment for individuals are female and lack of health insurance and secondary education level, female and youth age group and lack of health insurance and secondary education level with a high confidence level. This study provides practical insights for Zanzibar’s government to develop effective interventions, programs, and policies. Improving the interpretability of the random forest model enhances decision-making to address unemployment challenges.

A multi-criteria decision support system to evaluate the effectiveness of training courses on citizens’ employability

This study examines the impact of lifelong learning on the professional lives of employed and unemployed individuals. Lifelong learning is a crucial factor in securing employment or enhancing one’s existing career prospects. To achieve this objective, this study proposes the implementation of a multi-criteria decision support system for the evaluation of training courses in accordance with their capacity to enhance the employability of the students. The methodology is delineated in four stages. Firstly, a ‘working life curve’ was defined to provide a quantitative description of an individual’s working life. Secondly, an analysis based on K-medoids clustering defined a control group for each individual for comparison. Thirdly, the performance of a course according to each of the four predefined criteria was calculated using a t-test to determine the mean performance value of those who took the course. Ultimately, the unweighted TOPSIS method was used to evaluate the efficacy of the various training courses in relation to the four criteria. This approach effectively addresses the challenge of using extensive datasets within a system while facilitating the application of a multi-criteria unweighted TOPSIS method. The results of the multi-criteria TOPSIS method indicated that training courses related to the professional fields of administration and management, hostel and tourism and community and sociocultural services have positive impact on employability and improving the working conditions of citizens. However, courses that demonstrate the greatest effectiveness in ranking are the least demanded by citizens. The results will help policymakers evaluate the effectiveness of each training course offered by the regional government.

WASTE MANAGEMENT PRACTICES IN ALIMOSHO LOCAL GOVERNMENT AREA, LAGOS, NIGERIA

The study delves into the waste management strategies in Alimosho local government area, with Ile Epo as a focal point. The study aims to analyze the current waste generation pattern and disposal methods in the area, evaluate the effectiveness of existing waste management strategies, and assess the health implications of waste management practices in the locale. A total of 155 questionnaires were distributed to gather data on socioeconomic characteristics, waste generation, waste management techniques, and health challenges associated with waste management. A simple random sampling method was employed to select households in the designated buildings. Data analysis involved both descriptive and quantitative statistical methods. The study findings were visually presented through tables and charts. The analysis uncovered that a substantial proportion of respondents are employed (23.23%), with students and unemployed individuals constituting 0.65% and 6.45% respectively. The majority of households dispose of waste on a daily basis (85.16%), predominantly through incineration (79.35%) and open dumping (89.03%), with limited utilization of recycling or composting practices. ANOVA results demonstrated significant discrepancies in satisfaction levels among respondents regarding current waste management practices (p&lt;0.001). Regression analysis indicated a moderate positive correlation between the neutral category and overall satisfaction (R2 = 0.12, p &lt; 0.001). Furthermore, the results revealed an R value of 0.35, indicating a considerably strong positive relationship between satisfaction levels and waste management practices. An overwhelming 99.35% of respondents reported health issues potentially linked to waste management practices, such as skin infections and gastrointestinal problems. The study proposes various recommendations including enhancing infrastructure, increasing waste collection frequency, investing in modern processing facilities, and advocating for community engagement and education to enhance waste management practices and mitigate health impacts.

The Impact of Unemployment on Material Deprivation and the Incurred Extra Costs in Turkiye

This study aims to investigate the impact of unemployment on deprivation among individuals in Turkey and the additional costs unemployed individuals must bear to compensate for deprivation. The analyses in this study were conducted using panel data from the 2018-2021 Income and Living Conditions Survey of the Turkish Statistical Institute (TURKSTAT) and employed a fixed effects model. First, the deprivation index, an unobserved variable in the dataset, was estimated using the latent variable estimation method. The analysis revealed that unemployed individuals are more likely to experience material deprivation compared to employed individuals. According to the analysis, the estimated additional cost that unemployed individuals need to bear to achieve the living standards of employed individuals is 3560 TL per month. Moreover, the results indicate that age, marital status, education level, household type, and homeownership are other variables that significantly affect the deprivation index.

Psychological problems and work ability in unemployed people diagnosed with a mental illness.

Research shows that unemployed individuals are more often affected by mental illness, and that mental illness can impede an individual's work ability, creating a significant obstacle to (re)entering the workforce. The objective of this study is to examine the relationships between psychological symptoms and work ability in unemployed individuals with mental illnesses (UMIs). This will enable us to identify the symptoms that are most relevant for future research and application. Our study is based on a sample from the project LIPSY, which aims to maintain and/or restore the employability of UMIs. We conducted regression analyses with the outcome variable work ability in a sample of unemployed individuals with a mental illness (ICD-10: F-diagnosis). In the initial analysis, age, gender, education, and cohabitation status were used as predictors; in the final model, all nine symptom dimensions (SCL-90) were added, that is, (1) Somatization, (2) Obsessive-Compulsive, (3) Interpersonal Sensitivity, (4) Depression, (5) Anxiety, (6) Anger-Hostility, (7) Phobic Anxiety, (8) Paranoid Ideation, and (9) Psychoticism. Our sample comprised 402 participants, with a mean age of 35.7 years, 52.5% were female. In the final analysis, we found significant positive associations between education, Paranoid Ideation, and work ability, and a significant negative one between Depression and work ability, but no other significant associations. The elevated scores on all SCL-90 dimensions, along with the associations between two dimensions and work ability, underscore the need for psychological screening, diagnosis, prevention, and therapy (Depression) as well as additional public health attention and research (Paranoid Ideation) in this high-risk population.

On the economic sustainability of Russian households at a socially acceptable level

The paper is focused on determination and analysis of the thresholds for socially acceptable criteria of economic sustainability for households of different composition. The paper shows the key methodological aspects of determining the economic sustainability of households and its socially acceptable criterion. The main macroeconomic conditions for the formation of economic sustainability of households in Russia are also considered. Besides, the characteristics of employment for the people living in economically (un)sustainable households have been identified and analysed. The basis for the household economic sustainability, according to the authors, is self-sufficiency that enables using its own resources to support the socially acceptable level of consumption of socially significant goods and to accumulate savings subject to the resources’ limitations and social risks. The socially acceptable consumer budget is used as the criterion for identification of the household economic sustainability, including the specifics of the consumption of the main socio-demographic groups of the population (population of working age, pensioners, children) and savings in consumption due to cohabitation. Differentiating features of the threshold values for the households of different types are determined in the paper. It is shown that the threshold values of the criterion for economic sustainability of households per household member decrease as the number of minor children per 1 adult increases. However, the income position of such households worsens and, in conditions of unsustainability, the income deficit increases relative to the threshold value. It is revealed that there are no unemployed individuals among the people from economically sustainable households (unlike those living in economically unsustainable ones), while the situation regarding the share of the employed and the level of income from employment varies, depending on the composition of households, indicating different “strategies” for achieving sustainability of their households.