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Price
The current value of the Hospital Beds in Lithuania is 6.05 per 1000 people. The Hospital Beds in Lithuania increased to 6.05 per 1000 people on 12/1/2021, after it was 6.01 per 1000 people on 12/1/2020. From 12/31/1960 to 12/31/2021, the average GDP in Lithuania was 9.55 per 1000 people. The all-time high was reached on 12/31/1988 with 12.81 per 1000 people, while the lowest value was recorded on 12/31/2020 with 6.01 per 1000 people.
Hospital Beds ·
3 years
5 years
10 years
25 Years
Max
Hospital beds | |
---|---|
12/1/1961 | 8.07 per 1000 people |
12/1/1962 | 8.26 per 1000 people |
12/1/1963 | 8.51 per 1000 people |
12/1/1964 | 8.72 per 1000 people |
12/1/1965 | 8.94 per 1000 people |
12/1/1966 | 9.29 per 1000 people |
12/1/1967 | 9.59 per 1000 people |
12/1/1968 | 9.83 per 1000 people |
12/1/1969 | 10.1 per 1000 people |
12/1/1970 | 10.31 per 1000 people |
12/1/1971 | 10.43 per 1000 people |
12/1/1972 | 10.57 per 1000 people |
12/1/1973 | 10.69 per 1000 people |
12/1/1974 | 10.83 per 1000 people |
12/1/1975 | 11.17 per 1000 people |
12/1/1976 | 11.32 per 1000 people |
12/1/1977 | 11.41 per 1000 people |
12/1/1978 | 11.56 per 1000 people |
12/1/1979 | 11.77 per 1000 people |
12/1/1980 | 12.07 per 1000 people |
12/1/1981 | 12.2 per 1000 people |
12/1/1982 | 12.29 per 1000 people |
12/1/1983 | 12.36 per 1000 people |
12/1/1984 | 12.54 per 1000 people |
12/1/1985 | 12.78 per 1000 people |
12/1/1986 | 12.77 per 1000 people |
12/1/1987 | 12.8 per 1000 people |
12/1/1988 | 12.81 per 1000 people |
12/1/1989 | 12.66 per 1000 people |
12/1/1990 | 12.49 per 1000 people |
12/1/1991 | 12.47 per 1000 people |
12/1/1992 | 12.05 per 1000 people |
12/1/1993 | 11.84 per 1000 people |
12/1/1994 | 11.17 per 1000 people |
12/1/1995 | 10.94 per 1000 people |
12/1/1996 | 10.6 per 1000 people |
12/1/1997 | 9.6 per 1000 people |
12/1/1998 | 9.07 per 1000 people |
12/1/1999 | 8.95 per 1000 people |
12/1/2000 | 8.83 per 1000 people |
12/1/2001 | 8.33 per 1000 people |
12/1/2002 | 8.1 per 1000 people |
12/1/2003 | 7.85 per 1000 people |
12/1/2004 | 7.57 per 1000 people |
12/1/2005 | 7.28 per 1000 people |
12/1/2006 | 7.16 per 1000 people |
12/1/2007 | 7.19 per 1000 people |
12/1/2008 | 7.18 per 1000 people |
12/1/2009 | 7.18 per 1000 people |
12/1/2010 | 7.16 per 1000 people |
12/1/2011 | 7.43 per 1000 people |
12/1/2012 | 7.45 per 1000 people |
12/1/2013 | 7.31 per 1000 people |
12/1/2014 | 7.26 per 1000 people |
12/1/2015 | 6.97 per 1000 people |
12/1/2016 | 6.69 per 1000 people |
12/1/2017 | 6.56 per 1000 people |
12/1/2018 | 6.43 per 1000 people |
12/1/2019 | 6.35 per 1000 people |
12/1/2020 | 6.01 per 1000 people |
12/1/2021 | 6.05 per 1000 people |
Hospital Beds History
Date | Value |
---|---|
12/1/2021 | 6.05 per 1000 people |
12/1/2020 | 6.01 per 1000 people |
12/1/2019 | 6.35 per 1000 people |
12/1/2018 | 6.43 per 1000 people |
12/1/2017 | 6.56 per 1000 people |
12/1/2016 | 6.69 per 1000 people |
12/1/2015 | 6.97 per 1000 people |
12/1/2014 | 7.26 per 1000 people |
12/1/2013 | 7.31 per 1000 people |
12/1/2012 | 7.45 per 1000 people |
Similar Macro Indicators to Hospital Beds
Name | Current | Previous | Frequency |
---|---|---|---|
🇱🇹 Hospitals | 27.91 M per one people | 33.64 M per one people | Annually |
🇱🇹 ICU beds | 5.05 per 1000 people | 4.97 per 1000 people | Annually |
🇱🇹 Nurses | 7.84 per 1000 people | 7.77 per 1000 people | Annually |
🇱🇹 Physicians | 4.7 per 1000 people | 4.72 per 1000 people | Annually |
Macro pages for other countries in Europe
- 🇦🇱Albania
- 🇦🇹Austria
- 🇧🇾Belarus
- 🇧🇪Belgium
- 🇧🇦Bosnia and Herzegovina
- 🇧🇬Bulgaria
- 🇭🇷Croatia
- 🇨🇾Cyprus
- 🇨🇿Czech Republic
- 🇩🇰Denmark
- 🇪🇪Estonia
- 🇫🇴Faroe Islands
- 🇫🇮Finland
- 🇫🇷France
- 🇩🇪Germany
- 🇬🇷Greece
- 🇭🇺Hungary
- 🇮🇸Island
- 🇮🇪Ireland
- 🇮🇹Italy
- 🇽🇰Kosovo
- 🇱🇻Latvia
- 🇱🇮Liechtenstein
- 🇱🇺Luxembourg
- 🇲🇰North Macedonia
- 🇲🇹Malta
- 🇲🇩Moldova
- 🇲🇨Monaco
- 🇲🇪Montenegro
- 🇳🇱Netherlands
- 🇳🇴Norway
- 🇵🇱Poland
- 🇵🇹Portugal
- 🇷🇴Romania
- 🇷🇺Russia
- 🇷🇸Serbia
- 🇸🇰Slovakia
- 🇸🇮Slovenia
- 🇪🇸Spain
- 🇸🇪Sweden
- 🇨🇭Switzerland
- 🇺🇦Ukraine
- 🇬🇧United Kingdom
- 🇦🇩Andorra
What is Hospital Beds?
Hospital beds, an integral component of the healthcare infrastructure, are a critical microeconomic indicator with profound macroeconomic implications. As a professional website dedicated to showcasing macroeconomic data, Eulerpool understands the significance of meticulously analyzing and comprehensively presenting the factors surrounding the distribution, availability, and utilization of hospital beds. This analysis not only serves healthcare professionals and policymakers but also informs investors and economic strategists. Within the realm of healthcare, hospital beds are essential for facilitating patient care, particularly in acute and long-term medical scenarios. These include not only inpatient hospital admissions for surgeries or acute illnesses but also for the management of chronic diseases, rehabilitation, and palliative care. The availability and density of hospital beds per population—informed by metrics such as beds per 1,000 inhabitants—can exert considerable influence on public health outcomes and economic stability. From a macroeconomic perspective, the provisioning of hospital beds reflects a country’s healthcare investment and capacity. It ties directly into national health expenditures which constitute a vital part of government budgets and private sector investments. The number of available hospital beds correlates with other economic indicators such as Gross Domestic Product (GDP), healthcare spending, and overall economic development. Countries with higher GDPs often have more resources to allocate towards healthcare infrastructure, enabling them to maintain a higher density of hospital beds. Conversely, developing nations may struggle to meet adequate healthcare demands due to limited financial resources, impacting their ability to provide sufficient hospital beds. Additionally, hospital bed availability affects labor markets, particularly in the healthcare sector. An increased number of hospital beds necessitates a corresponding rise in healthcare professionals, including doctors, nurses, and supporting staff. This relationship underscores how health capacity expansion can stimulate employment and indirectly spur economic development by creating job opportunities. The role of hospital beds extends far beyond mere health statistics; it embraces broader socio-economic dimensions. For instance, countries facing demographic shifts, such as aging populations, often require higher bed densities in long-term and geriatric care facilities. Regions grappling with epidemics or public health emergencies also exhibit fluctuating demands for hospital beds, directly impacting health budgets and emergency response funding. The recent COVID-19 pandemic underscored this dynamic vividly, where many nations faced unprecedented pressures on hospital bed availability, leading to significant economic and logistical challenges. Hospital bed utilization rates serve as an additional crucial metric for economic analysis. High occupancy rates can indicate a well-utilized but potentially overburdened health system, whereas low rates might signify inefficiencies or excess capacity—a dilemma for hospital administrators aiming to balance economic viability with readiness for patient surges. Balancing these factors is essential for optimizing healthcare delivery and ensuring cost-effective resource management, thereby reflecting more broadly on economic stability and efficiency. The intersection of healthcare policies and hospital bed allocations cannot be overlooked. Proactive governmental policies geared towards enhancing healthcare infrastructure directly influence hospital bed supply. For example, strategic investments in public health initiatives and infrastructural subsidies can expand hospital bed availability, thereby improving public health and economic resilience. On the contrary, budget cuts or poorly managed health policies can lead to reduced hospital bed counts, exacerbating healthcare disparities and incurring higher long-term economic costs due to untreated illnesses and reduced workforce productivity. Private sector investments also play a pivotal role in hospital bed provisioning. The growth of private healthcare facilities, often determined by market demand and profitability, impacts the overall number of beds available to the population. In many countries, the interplay between public and private sectors dictates the accessibility and affordability of healthcare, influencing how hospital beds are distributed across different socio-economic strata. Analyzing hospital bed metrics supports socioeconomic planning and investment strategies. Healthcare investors and philanthropic organizations utilize these data to identify areas requiring infrastructure development. Urban planners and developers also consider hospital bed statistics in designing residential areas, ensuring adequate healthcare access aligns with community expansions. In summary, hospital beds are a foundational component of healthcare infrastructure with extensive macroeconomic ramifications. At Eulerpool, we recognize the multifaceted role that hospital bed availability, distribution, and utilization play in shaping public health outcomes and economic stability. By offering detailed, accurate, and timely data on hospital bed metrics, we aid stakeholders across health sectors, government bodies, investment frameworks, and urban planning entities. Understanding these dynamics facilitates informed decision-making, fostering a balanced approach to healthcare provision and economic development, thereby ensuring resilient and robust healthcare systems globally.