Frailty is a multifactorial geriatric syndrome characterized by the cumulative decline of physiological systems, which results in decrease in energy reserves and resistance to stressors. Social determinants such as socioeconomic level and lifestyle stand out as predisposing factors for functional decline, which favor the development of other disabilities, which may result in frailty, institutionalization, hospitalization and death. This study aimed to analyze the spatial distribution of the risk of frailty and associated factors among community older adults during the covid-19 pandemic. An epidemiological screening type research, with cross-sectional design and sample representative of the Federal District, Brazil, was carried out. Data were collected through electronic questionnaire. In order to answer the problem question, the Clinical-Functional Vulnerability Index - IVCF-20 instrument was used (with risk ≥7 points), complemented by questions about demographic factors (age and gender), socioeconomic factors (income, schooling and family structure) and health risk behaviors (physical activity and physical exercise before and during the physical distancing resulting from the covid-19 pandemic). To determine the prevalence of risk of frailty and health risk behaviors, descriptive procedures were used (frequency distribution and confidence interval) and to identify the association of risk of frailty with health risk behaviors, multivariate analysis with crude and adjusted logistic regression was used, adopting significance level of p≤0.05. In the analysis of the spatial distribution pattern of risk of frailty and associated health risk behaviors, bivariate association analysis was used (chi-square test of variables of interest stratified by income and place of residence, adopting significance level of p≤0.05) and geoprocessing techniques in the QGis 3.28.9 software, resulting in 4 location maps of areas of concentration of risk of frailty, insufficient level of physical activity, not having practiced physical exercise before the pandemic and not having practiced physical exercise during the physical distancing resulting from the pandemic). The sample consisted of 1,363 older adults (66.0%=female; 34.0%=male), the majority aged 60-74 years (82.2%), who lived in high-income regions (61%), with higher education level (50.1%) and who did not live alone (76.6%). There was high prevalence of individuals exposed to risk of frailty (30.7%; CI 95%=26.3-35.1), insufficiently active (45.6%; CI 95%=41.7-49.5) and who did not practice physical exercises before (30.2%; CI 95%=25.8-34.6) and during the physical distancing resulting from the covid-19 pandemic (53.4%; CI95%=49.8-57.0), being higher for all variables in low-income regions when compared to their peers (p<0.001). The prevalence of risk of frailty was associated with insufficient level of physical activity (OR=3.37; 95% CI 2.59-4.39) and with not practicing physical exercise before (OR=1.54; 95% CI 1. 17-2.03) and during physical distancing (OR=2.07; 95% CI 1.58-2.69). It could be concluded that the prevalence of risk of frailty in the investigated sample was high, being associated with insufficient level of physical activity and absence of physical exercises. The spatial analysis allowed knowing the distribution of the risk of frailty and associated health risk behaviors, with higher concentration in low-income regions compared to high-income ones. The results point to the need for health interventions to prevent the onset of frailty in older adults who were exposed to physical distancing resulting from the covid-19 pandemic, highlighting the importance of promoting physical activity, health care and education in health for all strata of the society.