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Accessed on 03.03.2020
The country recognizes the importance of family planning as they focus on achieving a demographic dividend. In order to improve the service delivery and supply chain, Senegal is strengthening its data management and reporting. Domestic resource mobilization for family plannin
...
g remains a key challenges for Senegal.
more
Accessed 18 June 2018 | Last updated 1-Jun.-2018 (data as of 25-May-2018) | Next overall update Mid-July 2018
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ... the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ... the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
Website last accessed on 08.09.2022
This page presents high-level information for Bolivia's climate zones and its seasonal cycle for mean temperature and precipitation for the latest climatology, 1991-2020. Climate zone classifications are derived from the Köppen-Geiger climate classification syst
...
em, which divides climates into five main climate groups divided based on seasonal precipitation and temperature patterns. The five main groups are A (tropical), B (dry), C (temperate), D (continental), and E (polar). All climates except for those in the E group are assigned a seasonal precipitation sub-group (second letter). Climate classifications are identified by hovering your mouse over the legend. A narrative overview of Bolivia's country context and climate is provided following the visualizations.
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Joint data assessment by the Central Statistical Organization and UNDP
The report shows that the National Statistical System of Myanmar has some work ahead of it in terms of preparing for the monitoring of the SDG indicators. Only 44 of the SDG indicators are currently produced and readily avai ... lable at the national level. However, the good news is that many (97) of the missing indicators can be computed from existing data sources – often with little effort - and don’t require any additional data collection. The report concludes that Myanmar is in a decent position to start monitoring the SDGs, and should start as soon as possible in putting its existing data to full use for the SDGs. more
The report shows that the National Statistical System of Myanmar has some work ahead of it in terms of preparing for the monitoring of the SDG indicators. Only 44 of the SDG indicators are currently produced and readily avai ... lable at the national level. However, the good news is that many (97) of the missing indicators can be computed from existing data sources – often with little effort - and don’t require any additional data collection. The report concludes that Myanmar is in a decent position to start monitoring the SDGs, and should start as soon as possible in putting its existing data to full use for the SDGs. more
The Demographic Dividend study on Rwanda assessed the socio-economic and human development potential of our country in the short, medium and long-term period using a comprehensive approach. It generated relevant policy and programme information to guide a well-informed polciy required to propel Rwan
...
da towards achieving its aspirations of being high middle income country by 2035 and high income country by 2050.
The primary objectives of this study were to assess Rwanda’s prospects for harnessing the demographic dividend and demonstrate priority policy and programme options that the country should adopt in order to optimise its chances of earning a maximum demographic dividend in the context of its youthful population and medium, long-term socio-economic development aspirations.
more
In 2015, the National Institute of Statistics of Rwanda published the Rwanda Poverty Profile Report 2013/2014,which provided a detailed portrait of the extent and nature of poverty in the country, based on information collected by an integrated hous
...
ehold living conditions survey (EICV4) undertaken between October 2013 and September 2014.
This report complements the study by looking at the trends in poverty between 2010/11 and 2013/14.It is essential to examine changes in poverty over time, because one of the most important goals of economic Sustainable Development Goals is to eliminate severe poverty by 2030.
more
Statistical Report | No. 39: 2013
The report offers a snapshot of the drivers behind the persistent exclusion of persons with disabilities and proposes a framework to build an actionable agenda building on promising practices available in the region. The COVID-19 pandemic has laid bare the urgent need to build more inclusive and res
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ilient societies. The region has shown its resilience in recovering from many crises in the past. Today, we are at a crucial flection point where it is clear that universal policies and economic growth alone are insufficient to eradicate the remaining pockets of exclusion. A disability-inclusive recovery should be at the core of the region’s rebuilding strategy. This matters in its own right but is also of utmost importance for the sustainability of the region.
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