1,733,977 research outputs found
Demand for Long-Term Care for Older People in England to 2031
How best to finance long-term care has been the subject of considerable debate in Britain. This article outlines the methodology and results of a model (developed by the Personal Social Services Research Unit) that makes projections of demand for long-term care for older people (aged 65 and older) to 2031. Key findings include: to keep pace with demographic pressures over the next thirty years, residential and nursing home places would nee to expand by around 65 per cent and numbers of hours of home care by around 48 per cent, assuming unchanged dependency rates; long-term care expenditure would need to rise by around 148 per cent in real terms between 1996 and 2031 to meet demographic pressures and allow for real rises in care costs of one per cent per year for social care and 1.5 per cent per year for health care; these projections are highly sensitive to the projected growth in the number of older people, to future dependency rates and to assumed real rises in the unit costs of care. However, they are less sensitive to future household composition. They assume no change in policy and make no allowance for changes in public expectations
Bomet County Spatial Plan 2022-2031
Bomet County Spatial Plan (BCSP), 2022-2031 has incorporated an array of legal frameworks namely; the
Kenya Constitution 2010, The County Governments Act 2012 and the Physical and Land Use Planning Act
2019. The Kenya Constitution 2010 states that land in Kenya shall be held, used and managed in a manner
that is equitable, efficient, productive and sustainable. The County Governments Act 2012 also empowers
the County Governments in matters related to governance, spatial planning and development. Section 110
of this Act requires that every county government prepares spatial planning framework that shall form the
basis for appropriation of public funds.
The general purpose of a county spatial plan is to provide the conceptual and topographical structure,
appropriate land use and land management policies, coordinate the distribution of people and activities
throughout the county to achieve prosperity, equity and sustainable social and economic development. On its
part, the BCSP has been prepared to attain socio-economic transformation and land resource optimisation
to improve the quality of life of the people of Bomet for the next ten years. Its main purpose is to provide a
spatial framework that delivers visionary and practical proposals that strives to transform Bomet County to
a balanced agro-based economy by the year 2031. It shall cover the entire area measuring approximately
2,507.1 Km² comprising of five sub-counties namely; Konoin, Chepalungu, Sotik and Bomet East and Bomet
Central
Matamata Piako District: Demographic Profile 1986 - 2031
This report outlines the demographic changes that have occurred in Matamata -Piako District, as well as what trends are expected in the future
Western Bay of Plenty District: Demographic Profile 1986 - 2031
This report outlines the demographic changes that have occurred in Western Bay of Plenty District, as well as what trends are expected in the future
Plan Estratégico UGR 2031
El ejercicio de planificación que representa este nuevo Plan Estratégico
UGR 2031 va a permitir a la institución plantear propuestas y tomar
decisiones más allá del corto plazo, mirando al futuro de cara a afrontar
los retos y desafíos de la sociedad del conocimiento y del nuevo
modelo económico y social al que nos dirigimos en la próxima década,
y con la vista puesta en el Horizonte 2031, año de nuestro V Centenario
Northland Region and its territorial authorities: Demographic profile 1986-2031
This report outlines the demographic changes that have occurred in the Northland Region, as well as what trends are expected in the future
Bay of Plenty Region and its Territorial Authorities: Demographic Profile 1986 - 2031
This report outlines the demographic changes that have occurred in Bay of Plenty Region, as well as what trends are expected in the future
Czech Census 2031
This thesis analyses the transition of census methodology in the Czech Republic from a traditional enumeration census in 2011 to a mixed model census in 2021 and an anticipated register-based census in 2031, as well as the role of administrative registers, digital infrastructure, and citizenry in enhancing census quality and efficiency. The 2021 census represents a significant next step towards this new methodology with 86% digital participation and administrative sources cutting the questionnaire in half while saving both cost and quality. The Czech Statistical Office (ČSÚ) intends further development towards an anticipated 2031 register-based census utilizing the newly established Register of Dwellings and larger connected register. The thesis analyzes the feasibility and cost-efficiency of such a transition by benchmarking against other countries and the experience of previous census rounds, employing qualitative methodology (expert interviews) and quantitative methodology (cost analysis) in the analysis of expected benefits (timeliness, burden, trust). Results show that a 2031 register-based census would significantly improve the inclusiveness and quality of censuses while greatly increasing the efficiency of public resource use. Policy recommendations include improved citizen contact, data governance, and intersectoral collaboration. The thesis contributes to a holistic statistical modernization framework, tailored to the context of EU census regulations and the demographic and digital transformation of the Czech Republic.This thesis analyses the transition of census methodology in the Czech Republic from a traditional enumeration census in 2011 to a mixed model census in 2021 and an anticipated register-based census in 2031, as well as the role of administrative registers, digital infrastructure, and citizenry in enhancing census quality and efficiency. The 2021 census represents a significant next step towards this new methodology with 86% digital participation and administrative sources cutting the questionnaire in half while saving both cost and quality. The Czech Statistical Office (ČSÚ) intends further development towards an anticipated 2031 register-based census utilizing the newly established Register of Dwellings and larger connected register. The thesis analyzes the feasibility and cost-efficiency of such a transition by benchmarking against other countries and the experience of previous census rounds, employing qualitative methodology (expert interviews) and quantitative methodology (cost analysis) in the analysis of expected benefits (timeliness, burden, trust). Results show that a 2031 register-based census would significantly improve the inclusiveness and quality of censuses while greatly increasing the efficiency of public resource use. Policy recommendations include improved citizen contact, data governance, and intersectoral collaboration. The thesis contributes to a holistic statistical modernization framework, tailored to the context of EU census regulations and the demographic and digital transformation of the Czech Republic
Czech Census 2031
This thesis analyses the transition of census methodology in the Czech Republic from a traditional enumeration census in 2011 to a mixed model census in 2021 and an anticipated register-based census in 2031, as well as the role of administrative registers, digital infrastructure, and citizenry in enhancing census quality and efficiency. The 2021 census represents a significant next step towards this new methodology with 86% digital participation and administrative sources cutting the questionnaire in half while saving both cost and quality. The Czech Statistical Office (ČSÚ) intends further development towards an anticipated 2031 register-based census utilizing the newly established Register of Dwellings and larger connected register. The thesis analyzes the feasibility and cost-efficiency of such a transition by benchmarking against other countries and the experience of previous census rounds, employing qualitative methodology (expert interviews) and quantitative methodology (cost analysis) in the analysis of expected benefits (timeliness, burden, trust). Results show that a 2031 register-based census would significantly improve the inclusiveness and quality of censuses while greatly increasing the efficiency of public resource use. Policy recommendations include improved citizen contact, data governance, and intersectoral collaboration. The thesis contributes to a holistic statistical modernization framework, tailored to the context of EU census regulations and the demographic and digital transformation of the Czech Republic.This thesis analyses the transition of census methodology in the Czech Republic from a traditional enumeration census in 2011 to a mixed model census in 2021 and an anticipated register-based census in 2031, as well as the role of administrative registers, digital infrastructure, and citizenry in enhancing census quality and efficiency. The 2021 census represents a significant next step towards this new methodology with 86% digital participation and administrative sources cutting the questionnaire in half while saving both cost and quality. The Czech Statistical Office (ČSÚ) intends further development towards an anticipated 2031 register-based census utilizing the newly established Register of Dwellings and larger connected register. The thesis analyzes the feasibility and cost-efficiency of such a transition by benchmarking against other countries and the experience of previous census rounds, employing qualitative methodology (expert interviews) and quantitative methodology (cost analysis) in the analysis of expected benefits (timeliness, burden, trust). Results show that a 2031 register-based census would significantly improve the inclusiveness and quality of censuses while greatly increasing the efficiency of public resource use. Policy recommendations include improved citizen contact, data governance, and intersectoral collaboration. The thesis contributes to a holistic statistical modernization framework, tailored to the context of EU census regulations and the demographic and digital transformation of the Czech Republic
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