senegal Senegal: EU Vessels to Stop Fishing in Senegal Waters After Accord Expires By allafrica.com Published On :: Thu, 14 Nov 2024 04:57:53 GMT [RFI] The EU says it will not renew a fishing agreement between Brussels and Dakar following "shortcomings" over illegal, unreported and unregulated fishing. Full Article Economy Business and Finance Europe and Africa External Relations Governance Legal and Judicial Affairs Senegal West Africa
senegal More surprises: Japan and Senegal, Russia through By english.pravda.ru Published On :: Wed, 20 Jun 2018 00:16:00 +0300 More surprises: Japan and Senegal Japan beat Colombia 2-1, the same result as the Senegal versus Poland game Full Article Sport
senegal What the Holidays Mean for Me, a Chef Who Left Oakland for Senegal By ww2.kqed.org Published On :: Mon, 14 Dec 2020 16:00:27 +0000 In Dakar, during the American holiday months and a global pandemic, every aspect of my life has shifted. Full Article
senegal The Damel Brings Senegalese and Bahian Flavors to Oakland By ww2.kqed.org Published On :: Wed, 03 Feb 2021 15:00:25 +0000 Chef Oumar Diuof's Senegalese upbringing gets a South American twist in the dishes at his popular restaurant. Full Article
senegal Senegal: Former Rivals Sonko and Macky Sall Face Off Again in Senegal's Parliamentary Elections By allafrica.com Published On :: Wed, 13 Nov 2024 05:06:15 GMT [RFI] In the upcoming parliamentary elections in Senegal scheduled for this weekend, former presidential rivals Prime Minister Ousmane Sonko and former President Macky Sall will face off once more - this time aiming to secure a majority in Parliament. This follows their competition in the March 2024 presidential election. Full Article Governance Legal and Judicial Affairs Senegal West Africa
senegal Capacity-Building Through Digital Approaches: Evaluating the Feasibility and Effectiveness of eLearning to Introduce Subcutaneous DMPA Self-Injection in Senegal and Uganda By ghspjournal.org Published On :: 2024-10-29T12:28:39-07:00 ABSTRACTTraining health workers is one of the biggest challenges and cost drivers when introducing a new contraceptive method or service delivery innovation. PATH developed a digital training curriculum for family planning providers who are learning to offer subcutaneous DMPA (DMPA-SC), including through self-injection, as an option among a range of contraceptive methods. The DMPA-SC eLearning course for health workers includes 10 lessons with an emphasis on informed choice counseling and training clients to self-inject. In partnership with Ministries of Health in Senegal and Uganda, the course was rolled out in select areas in 2019–2020, including during the COVID-19 pandemic when physical distancing requirements restricted in-person training. We conducted evaluations in both countries to assess the practical application of this digital training approach for contraceptive introduction. The evaluation consisted of a post-training survey, an observational assessment conducted during post-training supportive supervision, and an estimation of training costs.In both countries, a majority (88.6% in Uganda and 64.3% in Senegal) scored above 80% on a DMPA-SC knowledge test following the training. In Senegal, where there was a comparison group of providers trained in person, those providers scored similar on the post-test to eLearners. Providers in both groups and in both countries felt more prepared to administer DMPA-SC or offer self-injection to clients after receiving a supervision visit (93%–98% of eLearners felt very prepared after supervision as compared to 45%–72% prior). The evaluation results suggest that digital approaches offer a number of benefits, can be cost-effective, and are most optimal when blended with in-person training and/or supportive supervision. Full Article
senegal Portrait and place : photography in Senegal, 1840-1960 / Giulia Paoletti. By encore.st-andrews.ac.uk Published On :: Princeton : Princeton University Press, [2024] Full Article
senegal Private Health Investments under Competing Risks: Evidence from Malaria Control in Senegal [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
senegal Climate change adaptation and financial protection: Synthesis of key findings from Colombia and Senegal - Environment Working Paper By www.oecd-ilibrary.org Published On :: Mon, 10 Apr 2017 12:47:00 GMT Developing countries are disproportionately affected by the rising trend of losses from climate-related extreme events. This paper uses case studies of Colombia and Senegal to examine how countries are using financial protection as part of their approaches to managing climate risks; it also identifies emerging priorities for development co-operation providers in supporting financial protection against climate risks. Full Article
senegal Youssou N’Dour - From Senegal to the World: 80s Classics and Rarities By www.bbc.co.uk Published On :: Thu, 22 Nov 2012 00:00:00 +0000 Unlikely to stand out beside more complete N’Dour compilation sets. Full Article
senegal Senegalese Lab Uses Expertise To Develop COVID-19 Test By feeds.bet.com Published On :: Mon, 27 Apr 2020 13:53:00 EDT The African nation has vast experience fighting diseases. Full Article National News Covid-19 Coronavirus
senegal Timeline: Senegal By news.bbc.co.uk Published On :: Wed, 01 Dec 2010 12:50:51 GMT A chronology of key events Full Article Country profiles
senegal Country profile: Senegal By news.bbc.co.uk Published On :: Sat, 07 May 2011 14:57:30 GMT Key facts, figures and dates Full Article Country profiles
senegal AT#702 - Travel to Senegal and The Gambia By amateurtraveler.com Published On :: Sat, 25 Apr 2020 14:00:00 +0000 Hear about travel to West Africa to Senegal and the Gambia as the Amateur Traveler talks to Brian Asher from theworldhiker.com about this under-visited region. Full Article
senegal CBD News: Statement by Mr. Braulio F. de Souza Dias, CBD Executive Secretary, at the Opening of Sustainable Ocean Initiative (SOI) Capacity-Building Workshop for West Africa, Dakar, Senegal, 4 to 8 February 2013 By www.cbd.int Published On :: Mon, 04 Feb 2013 00:00:00 GMT Full Article
senegal CBD News: Statement by Mr. Braulio F. de Souza Dias, CBD Executive Secretary, at the opening of the Global Taxonomy Initiative Capacity Building Workshop towards Achieving Aichi Biodiversity Targets 9 and 19 for Western and Central Africa, Dakar, Senegal, By www.cbd.int Published On :: Mon, 04 Mar 2013 00:00:00 GMT Full Article
senegal CBD News: Following the ratification by Senegal, the total number of ratifications to the Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilization now stands at 73. In addition, South Afr By www.cbd.int Published On :: Tue, 29 Mar 2016 00:00:00 GMT Full Article
senegal It Takes a Village: Despite Challenges, Migrant Groups Lead Development in Senegal By www.migrationpolicy.org Published On :: Wed, 03 Oct 2018 19:21:15 -0400 For generations, migrants have emigrated from Senegal, particularly from in and around the Senegal River Valley. With France a key destination, French policy changes have had significant impact on Senegalese migrants and the hometown associations through which they support development in Senegal. This article explores how these policy shifts influence development and quality of life in the Senegal River Valley. Full Article
senegal Deux ans entre senegal et niger / par Louis Lota. By feedproxy.google.com Published On :: Paris : Steinheil, 1887. Full Article
senegal Africa Now: Senegal’s startup scene By www.reuters.com Published On :: Wed, 06 May 2020 17:59:50 -0400 Senegal is quickly becoming a tech hub leader in Francophone West Africa, having raised $22 million in investments for tech and digital companies in 2018, according to Partech, a global investment platform. However, the business ecosystem in the region remains beset by a critical funding gap. Full Article
senegal Big Data and Sustainable Development: Evidence from the Dakar Metropolitan Area in Senegal By webfeeds.brookings.edu Published On :: Thu, 23 Apr 2015 11:43:00 -0400 There is a lot of hope around the potential of Big Data—massive volumes of data (such as cell phone GPS signals, social media posts, online digital pictures and videos, and transaction records of online purchases) that are large and difficult to process with traditional database and software techniques—to help achieve the sustainable development goals. The United Nations even calls for using the ongoing Data Revolution –the explosion in quantity and diversity of Big Data—to make more and better data usable to inform development analysis, monitoring and policymaking: In fact, the United Nations believes that that “Data are the lifeblood of decision-making and the raw material for accountability. Without high-quality data providing the right information on the right things at the right time; designing, monitoring and evaluating effective policies becomes almost impossible.” The U.N. even held a “Data Innovation for Policy Makers” conference in Jakarta, Indonesia in November 2014 to promote use of Big Data in solving development challenges. Big Data has already played a role in development: Early uses of it include the detection of influenza epidemics using search engine query data or the estimation of a country’s GDP by using satellite data on night lights. Work is also under way by the World Bank to use Big Data for transport planning in Brazil. During the Data for Development session at the recent NetMob conference at MIT, we presented a paper in which we jump on the Big Data bandwagon. In the paper, we use mobile phone data to assess how the opening of a new toll highway in Dakar, Senegal is changing how people commute to work (human mobility) in this metropolitan area. The new toll road is one of the largest investments by the government of Senegal and expectations for its developmental impact are high. In particular, the new infrastructure is expected to increase the flow of goods and people into and out of Dakar, spur urban and rural development outside congested areas, and boost land valuation outside Dakar. Our study is a first step in helping policymakers and other stakeholders benchmark the impact of the toll road against many of these objectives. Assessing how the impact of the new toll highway differs by area and how it changes over time can help policymakers benchmark the performance of their investment and better plan the development of urban areas. The Dakar Diamniadio Toll Highway The Dakar Diamniadio Toll Highway (in red in Figure 1), inaugurated on August 1, 2013 is the first section (32 km or 20 miles) of a broader project to connect the capital, Dakar, through a double three-lane highway to a new airport (Aeroport International Blaise Diagne, AIBD) and a special economic zone, the Dakar Integrated Special Economic Zone (DISEZ) and the rest of the country. Note: The numbers indicate the incidence of increased inter cell mobility and were used to calculate the percentage increase in mobility. The cost of this large project is estimated to be about $696 million (FCFA 380.2 billion or 22.7 percent of 2014 fiscal revenues, excluding grants) with the government of Senegal having already disbursed $353 million. The project is one of the first toll roads in sub-Saharan Africa (excluding South Africa) structured as a public-private partnership (PPP) and includes multilateral partners such as the World Bank, the French Development Agency, and the African Development Bank. In our study, we ask whether the new toll road led to an increase in human mobility and, if so, whether particular geographical areas experienced higher or lower mobility relative to others following its opening. Did the Highway Increase Human Mobility? Using mobile phone usage data (Big Data), we use statistical analysis in our paper to approximate where people live and where they work. We then estimate how the reduction in travel time following the opening of the toll road changes the way they commute to work. As illustrated in the map of Figure 1, we find some interesting trends: Human mobility in the metropolitan Dakar area increased on average by 1.34 percent after the opening of the Dakar Diamniadio Toll Highway. However, this increase masks important disparities across the different sub-areas of the Dakar metropolitan areas. Areas in blue in Figure 1 are those for which mobility increased after the opening of the new road toll while those in red experienced decreased mobility. In particular, the Parcelles Assainies suburban area benefited the most from the toll road with an increase in mobility of 26 percent. The Centre Ville (downtown) area experienced a decrease in mobility of about 20 percent. These trends are important and would have been difficult to discover without Big Data. Now, though, researchers need to parse through the various reasons these trends might have occurred. For instance, the Parcelles Assainies area may have benefited the most because of its closer location to the toll road whereas the feeder roads in the downtown area may not have been able to absorb the increase in traffic from the toll road. Or people may have moved from the downtown area to less expensive areas in the suburbs now that the new toll road makes commuting faster. The Success of Big Data From these preliminary results (our study is work in progress, and we will be improving its methodology), we are encouraged by the fact that our method and use of Big Data has three areas of application for a project such as this: Benchmarking: Our method can be used to track how the impact of the Dakar Diamniadio Toll Highway changes over time and for different areas of the Dakar metropolitan areas. This process could be used to study other highways in the future and inform highway development overall. Zooming in: Our analysis is a first step towards a more granular study of the different geographic areas within the Dakar suburban metropolitan area, and perhaps inspire similar studies around the continent. In particular, it would be useful to study the socio-economic context within each area to better appreciate the impact of new infrastructure on people’s lives. For instance, in order to move from estimates of human mobility (traffic) to measures of “accessibility,” it will be useful to complement the current analysis with an analysis of land use, a study of job accessibility, and other labor markets information for specific areas. Regarding accessibility, questions of interest include: Who lives in the areas most/least affected? What kind of jobs do they have access to? What type of infrastructure do they have access to? What is their income level? Answers to these questions can be obtained using satellite information for land prices, survey data (including through mobile phones) and data available from the authorities. Regarding urban planning, questions include: Is the toll diverting the traffic to other areas? What happens in those areas? Do they have the appropriate infrastructure to absorb the increase in traffic? Zooming out: So far, our analysis is focused on the Dakar metropolitan area, and it would be useful to assess the impact of new infrastructure on mobility between the rest of the country and Dakar. For instance, the analysis can help assess whether the benefits of the toll road spill over to the rest of the country and even differentiate the impact of the toll road on the different regions of the country. This experience tells us that there are major opportunities in converting Big Data into actionable information, but the impact of Big Data still remains limited. In our case, the use of mobile phone data helped generate timely and relatively inexpensive information on the impact of a large transport infrastructure on human mobility. On the other hand, it is clear that more analysis using socioeconomic data is needed to get to concrete and impactful policy actions. Thus, we think that making such information available to all stakeholders has the potential not only to guide policy action but also to spur it. References Atkin, D. and D. Donaldson (2014). Who ’ s Getting Globalized ? The Size and Implications of Intranational Trade Costs . (February). Clark, X., D. Dollar, and A. Micco (2004). Port efficiency, maritime transport costs, and bilateral trade. Journal of Development Economics 75(2), 417–450, December. Donaldson, D. (2013). Railroads of the Raj: Estimating the Impact of Transportation Infrastructure. forthcoming, American Economic Review. Fetzer Thiemo (2014) “Urban Road Construction and Human Commuting: Evidence from Dakar, Senegal.” Mimeo Ji, Y. (2011). Understanding Human Mobility Patterns Through Mobile Phone Records : A cross-cultural Study. Simini, F., M. C. Gonzalez, A. Maritan, and A.-L. Barab´asi (2012). A universal model for mobility and migration patterns. Nature 484(7392), 96–100, April. Tinbergen, J. (1962). Shaping the World Economy; Suggestions for an International Economic Policy. Yuan, Y. and M. Raubal (2013). Extracting dynamic urban mobility patterns from mobile phone data. Authors Thiemo FetzerAmadou Sy Image Source: © Normand Blouin / Reuters Full Article
senegal Big Data for improved diagnosis of poverty: A case study of Senegal By webfeeds.brookings.edu Published On :: Tue, 02 Jun 2015 15:07:00 -0400 It is estimated that there are 95 mobile phone subscriptions per 100 inhabitants worldwide, and this boom has not been lost on the developing world, where the number of mobile users has also grown at rocket speed. In fact, in recent years the information communication technology (ICT) revolution has provided opportunities leading to “death of distance,” allowing many obstacles to better livelihoods, especially for those in remote regions, to disappear. Remarkably, though, the huge proportion of poverty-stricken populations in so many of those same regions persists. How might, then, we think differently on the relationship between these two ideas? Can and how might ICTs act as an engine for eradicating poverty and improving the quality of life in terms of better livelihoods, strong education outcomes, and quality health? Do today's communication technologies hold such potential? In particular, the mobile phone’s accessibility and use creates and provides us with an unprecedented volume of data on social interactions, mobility, and more. So, we ask: Can this data help us better understand, characterize, and alleviate poverty? Mapping call data records, mobility, and economic activity The first step towards alleviating poverty is to generate poverty maps. Currently, poverty maps are created using nationally representative household surveys, which require manpower and time. Such maps are generated at a coarse regional resolution and continue to lag for countries in sub-Saharan Africa compared to the rest of the world. As call data records (CDRs) allow a view of the communication and mobility patterns of people at an unprecedented scale, we show how this data can be used to create much more detailed poverty maps efficiently and at a finer spatial resolution. Such maps will facilitate improved diagnosis of poverty and will assist public policy planners in initiating appropriate interventions, specifically at the decentralized level, to eradicate human poverty and ensure a higher quality of life. How can we get such high resolution poverty maps from CDR data? In order to create these detailed poverty maps, we first define the virtual network of a country as a “who-calls-whom” network. This signifies the macro-level view of connections or social ties between people, dissemination of information or knowledge, or dispersal of services. As calls are placed for a variety of reasons, including request for resources, information dissemination, personal etc., CDRs provide an interesting way to construct a virtual network for Senegal. We start by quantifying the accessibility of mobile connectivity in Senegal, both spatially and across the population, using the CDR data. This quantification measures the amount of communication across various regions in Senegal. The result is a virtual network for Senegal, which is depicted in Figure 1. The circles in the map correspond to regional capitals, and the edges correspond to volume of mobile communication between them. Thicker edges mean higher volume of communication. Bigger circles mean heavier incoming and outgoing communication for that region. Figure 1: Virtual network for Senegal with MPI as an overlay Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015 Figure 1 also shows the regional poverty index[1] as an overlay. A high poverty index corresponds to very poor regions, which are shown lighter green on the map. It is evident that regions with plenty of strong edges have lower poverty, while most poor regions appear isolated. Now, how can we give a more detailed look at the distribution of poverty? Using the virtual network, we extract quantitative metrics indicating the centrality of each region in Senegal. We then calculate centrality measures of all the arrondissements[2] within a region. We then correlate these regional centrality measures with the poverty index to build a regression model. Using the regression model, we predict the poverty index for each arrondissement. Figure 2 shows the poverty map generated by our model for Senegal at an arrondissement level. It is interesting to see finer disaggregation of poverty to identify pockets of arrondissement, which are most in need of sustained growth. The poorer arrondissements are shown lighter green in color with high values for the poverty index. Figure 2: Predicted poverty map at the arrondissement level for Senegal with MPI as an overlay Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015. What is next for call data records and other Big Data in relation to eradicating poverty and improving the human development? This investigation is only the beginning. Since poverty is a complex phenomenon, poverty maps showcasing multiple perspectives, such as ours, provide policymakers with better insights for effective responses for poverty eradication. As noted above, these maps can be used for decomposing information on deprivation of health, education, and living standards—the main indicators of human development index. Even more particularly, we believe that this Big Data and our models can generate disaggregated poverty maps for Senegal based on gender, the urban/rural gap, or ethnic/social divisions. Such poverty maps will assist in policy planning for inclusive and sustained growth of all sections of society. Our methodology is generic and can be used to study other socio-economic indicators of the society. Like many uses of Big Data, our model is in its nascent stages. Currently, we are working towards testing our methodology at the ground level in Senegal, so that it can be further updated based on the needs of the people and developmental interventions can be planned. The pilot project will help to "replicate" our methodology in other underdeveloped countries. In the forthcoming post-2015 development agenda intergovernmental negotiations, the United Nations would like to ensure the “measurability, achievability of the targets” along with identification of 'technically rigorous indicators' for development. It is in this context that Big Data can be extremely helpful in tackling extreme poverty. Note: This examination was part of the "Data for Development Senegal" Challenge, which focused on how to use Big Data for grass-root development. We took part in the Data Challenge, which was held in conjunction with NetMob 2015 at MIT from April 7-10, 2015. Our team received the National Statistics prize for our project titled, "Virtual Network and Poverty Analysis in Senegal.” This blog reflects the views of the authors only and does not reflect the views of the Africa Growth Initiative. [1] As a measure of poverty, we have used the Multidimensional Poverty Index (MPI), which is a composite of 10 indicators across the three areas: education (years of schooling, school enrollment), health (malnutrition, child mortality), and living conditions. [2] Senegal is divided into 14 administrative regions, which are further divided into 123 arrondissements. Authors Neeti PokhriyalWen DongVenu Govindaraju Full Article
senegal Sadio Mané: Made in Senegal, trailer for documentary on Liverpool forward – video By www.theguardian.com Published On :: 2020-04-07T11:14:01Z Made in Senegal takes an in-depth look at the rise of Liverpool forward Sadio Mané, who is the current African player of the year. The documentary will be exclusively available across Europe on Rakuten TV’s free Rakuten Stories channel from 8 April. Continue reading... Full Article Liverpool Senegal football team Senegal Football Sport
senegal Senegal back on track with dominant win over Belarus By www.fifa.com Published On :: Sun, 24 Nov 2019 17:07:00 GMT Full Article
senegal Senegal spring into quarter-finals with win over UAE By www.fifa.com Published On :: Tue, 26 Nov 2019 16:43:00 GMT Full Article
senegal Portugal beat Senegal to keep Paraguay 2019 dream alive By www.fifa.com Published On :: Thu, 28 Nov 2019 15:03:00 GMT Full Article
senegal Senegal takes key steps towards improving tax transparency By www.oecd.org Published On :: Thu, 04 Feb 2016 09:23:00 GMT Senegal today signed the Multilateral Convention on Mutual Administrative Assistance in Tax Matters. Senegal is the 11th country of the African continent to sign the Convention and the 93rd jurisdiction to join it. Simultaneously to signing the Convention, Senegal today also became the 32nd signatory of Multilateral Competent Authority Agreement for the automatic exchange of Country-by-Country reports (CbC MCAA). Full Article
senegal OECD and Francophone African officials meet in Senegal to discuss BEPS implementation and solutions to the tax challenges of digitalisation By www.oecd.org Published On :: Fri, 18 Oct 2019 17:00:00 GMT Over 50 delegates from 13 African countries, as well as international and regional organisations, technical co-operation agencies, Senegalese business, civil society and academia gathered in Saly, Senegal, on 15-17 October 2019 for the Third Regional Meeting on BEPS for Francophone Countries. Full Article
senegal Senegal Loans To Private Sector By tradingeconomics.com Published On :: Mon, 03 Jul 2017 18:51:00 GMT Loans To Private Sector in Senegal increased to 2902002 XOF Million in September from 2849250 XOF Million in August of 2016. Loans To Private Sector in Senegal averaged 1766376.63 XOF Million from 2005 until 2016, reaching an all time high of 2902002 XOF Million in September of 2016 and a record low of 868952 XOF Million in May of 2005. This page provides the latest reported value for - Senegal Loans To Private Sector - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. Full Article
senegal Senegal Internet Speed By tradingeconomics.com Published On :: Fri, 27 Oct 2017 17:54:00 GMT Internet Speed in Senegal increased to 2017.37 KBps in the first quarter of 2017 from 2006.42 KBps in the fourth quarter of 2016. Internet Speed in Senegal averaged 987.85 KBps from 2007 until 2017, reaching an all time high of 2017.37 KBps in the first quarter of 2017 and a record low of 472.51 KBps in the third quarter of 2009. This page includes a chart with historical data for SenegalInternet Speed. Full Article
senegal Senegal IP Addresses By tradingeconomics.com Published On :: Fri, 27 Oct 2017 17:54:00 GMT IP Addresses in Senegal increased to 104017 IP in the first quarter of 2017 from 99430 IP in the fourth quarter of 2016. IP Addresses in Senegal averaged 74903.69 IP from 2007 until 2017, reaching an all time high of 113145 IP in the fourth quarter of 2011 and a record low of 21476 IP in the third quarter of 2007. This page includes a chart with historical data for SenegalIP Addresses. Full Article
senegal Senegal Temperature By tradingeconomics.com Published On :: Thu, 18 Jan 2018 17:07:00 GMT Temperature in Senegal decreased to 27.60 celsius in August from 29.41 celsius in July of 2013. Temperature in Senegal averaged 27.97 celsius from 1849 until 2013, reaching an all time high of 32.87 celsius in May of 2010 and a record low of 21.54 celsius in January of 1889. This page includes a chart with historical data for Senegal Temperature. Full Article
senegal Senegal Living Wage Individual By tradingeconomics.com Published On :: Wed, 31 Oct 2018 16:17:00 GMT Living Wage Individual in Senegal remained unchanged at 89500 XOF/Month in 2018 from 89500 XOF/Month in 2018. WageIndicator Living Wage computations are based on the cost of living for a predefined food basket derived from the FAO database distinguishing 50 food groups with national food consumption patterns in per capita units, for housing and for transportation, with a margin for unexpected expenses. The data about prices of these items is collected through an online survey. Full Article
senegal Senegal Living Wage Family By tradingeconomics.com Published On :: Wed, 31 Oct 2018 17:56:00 GMT Living Wage Family in Senegal remained unchanged at 211500 XOF/Month in 2018 from 211500 XOF/Month in 2018. WageIndicator Living Wage computations are based on the cost of living for a predefined food basket derived from the FAO database distinguishing 50 food groups with national food consumption patterns in per capita units, for housing and for transportation, with a margin for unexpected expenses. The data about prices of these items is collected through an online survey. Living Wage for a typical family refers to the family composition most common in the country at stake, calculated on the respective fertility rates. Full Article
senegal Senegal Wages High Skilled By tradingeconomics.com Published On :: Thu, 01 Nov 2018 15:04:00 GMT Wages High Skilled in Senegal increased to 382000 XOF/Month in 2018 from 355200 XOF/Month in 2017. Wages High Skilled in Senegal averaged 353775 XOF/Month from 2015 until 2018, reaching an all time high of 382000 XOF/Month in 2018 and a record low of 300000 XOF/Month in 2015. High Skilled Wages refer to highest estimate of wage of workers doing high-skilled jobs, calculated from sample of wages collected by WageIndicator surveys. Full Article
senegal Senegal Wages Low Skilled By tradingeconomics.com Published On :: Thu, 01 Nov 2018 15:17:00 GMT Wages Low Skilled in Senegal increased to 126400 XOF/Month in 2018 from 123300 XOF/Month in 2017. Wages Low Skilled in Senegal averaged 117775 XOF/Month from 2015 until 2018, reaching an all time high of 132600 XOF/Month in 2016 and a record low of 88800 XOF/Month in 2015. Low Skilled Wages refer to highest estimate of wage of workers doing low-skilled jobs, calculated from sample of wages collected by WageIndicator surveys. Full Article
senegal Senegal Business Survey Indicator By tradingeconomics.com Published On :: Tue, 20 Nov 2018 10:56:00 GMT Leading Economic Index Senegal increased 3.60 percent in February of 2018 over the same month in the previous year. Leading Economic Index in Senegal averaged 3.40 Percent from 2012 until 2018, reaching an all time high of 11 Percent in October of 2013 and a record low of 0.10 Percent in February of 2014. In Senegal, Business Survey Indicator (Indicateur Synthétique de la Conjoncture) shows a year over year change in the activity of different economic sectors including industrial production, construction, internal trade and services, anticipating future movements in GDP. This page provides - Senegal Leading Economic Index- actual values, historical data, forecast, chart, statistics, economic calendar and news. Full Article
senegal Senegal Military Expenditure By tradingeconomics.com Published On :: Mon, 06 May 2019 15:22:00 GMT Military Expenditure in Senegal increased to 327 USD Million in 2018 from 305 USD Million in 2017. Military Expenditure in Senegal averaged 144.23 USD Million from 1979 until 2018, reaching an all time high of 327 USD Million in 2018 and a record low of 94 USD Million in 1986. Full Article
senegal Senegal GDP per capita PPP By tradingeconomics.com Published On :: Tue, 09 Jul 2019 16:06:00 GMT The Gross Domestic Product per capita in Senegal was last recorded at 3356.30 US dollars in 2018, when adjusted by purchasing power parity (PPP). The GDP per Capita, in Senegal, when adjusted by Purchasing Power Parity is equivalent to 19 percent of the world's average. GDP per capita PPP in Senegal averaged 2602.82 USD from 1990 until 2018, reaching an all time high of 3356.30 USD in 2018 and a record low of 2173.40 USD in 1994. The GDP per capita PPP is obtained by dividing the country’s gross domestic product, adjusted by purchasing power parity, by the total population. This page provides - Senegal GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news. Full Article
senegal Senegal Capital Flows By tradingeconomics.com Published On :: Tue, 01 Oct 2019 11:44:00 GMT Senegal recorded a capital and financial account deficit of 1063.10 XOF Billion in 2018. Capital Flows in Senegal averaged -207.71 XOF Billion from 2005 until 2018, reaching an all time high of 1851.70 XOF Billion in 2006 and a record low of -1063.10 XOF Billion in 2018. This page provides - Senegal Capital Flows- actual values, historical data, forecast, chart, statistics, economic calendar and news. Full Article
senegal Senegal Competitiveness Index By tradingeconomics.com Published On :: Wed, 09 Oct 2019 17:47:00 GMT Senegal scored 49.69 points out of 100 on the 2018 Global Competitiveness Report published by the World Economic Forum. Competitiveness Index in Senegal averaged 15.03 Points from 2008 until 2019, reaching an all time high of 49.69 Points in 2019 and a record low of 3.60 Points in 2008. The most recent 2018 edition of Global Competitiveness Report assesses 140 economies. The report is made up of 98 variables, from a combination of data from international organizations as well as from the World Economic Forum’s Executive Opinion Survey. The variables are organized into twelve pillars with the most important including: institutions; infrastructure; ICT adoption; macroeconomic stability; health; skills; product market; labour market; financial system; market size; business dynamism; and innovation capability. The GCI varies between 1 and 100, higher average score means higher degree of competitiveness. With the 2018 edition, the World Economic Forum introduced a new methodology, aiming to integrate the notion of the 4th Industrial Revolution into the definition of competitiveness. It emphasizes the role of human capital, innovation, resilience and agility, as not only drivers but also defining features of economic success in the 4th Industrial Revolution. This page provides the latest reported value for - Senegal Competitiveness Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. Full Article
senegal Senegal Competitiveness Rank By tradingeconomics.com Published On :: Wed, 09 Oct 2019 17:48:00 GMT Senegal is the 114 most competitive nation in the world out of 140 countries ranked in the 2018 edition of the Global Competitiveness Report published by the World Economic Forum. Competitiveness Rank in Senegal averaged 107.75 from 2008 until 2019, reaching an all time high of 117 in 2013 and a record low of 92 in 2010. The most recent 2018 edition of Global Competitiveness Report assesses 140 economies. In 2018, the World Economic Forum introduced a new methodology emphasizing the role of human capital, innovation, resilience and agility, as not only drivers but also defining features of economic success in the 4th Industrial Revolution. As a result, the GCI scale changed to 1 to 100 from 1 to 7, with higher average score meaning higher degree of competitiveness. The report is made up of 98 variables organized into twelve pillars with the most important including: institutions; infrastructure; ICT adoption; macroeconomic stability; health; skills; product market; labour market; financial system; market size; business dynamism; and innovation capability. This page provides the latest reported value for - Senegal Competitiveness Rank - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. Full Article
senegal Ease of Doing Business in Senegal By tradingeconomics.com Published On :: Mon, 11 Nov 2019 17:36:00 GMT Senegal is ranked 123 among 190 economies in the ease of doing business, according to the latest World Bank annual ratings. The rank of Senegal improved to 123 in 2019 from 141 in 2018. Ease of Doing Business in Senegal averaged 152.25 from 2008 until 2019, reaching an all time high of 178 in 2013 and a record low of 123 in 2019. The Ease of doing business index ranks countries against each other based on how the regulatory environment is conducive to business operationstronger protections of property rights. Economies with a high rank (1 to 20) have simpler and more friendly regulations for businesses. This page includes a chart with historical data for Ease of Doing Business in Senegal. Full Article
senegal Senegal Terrorism Index By tradingeconomics.com Published On :: Wed, 20 Nov 2019 17:44:00 GMT Terrorism Index in Senegal increased to 1.19 in 2018 from 1.01 in 2017. Terrorism Index in Senegal averaged 2.44 from 2002 until 2018, reaching an all time high of 3.88 in 2002 and a record low of 0.04 in 2007. The Global Terrorism Index measures the direct and indirect impact of terrorism, including its effects on lives lost, injuries, property damage and the psychological aftereffects. It is a composite score that ranks countries according to the impact of terrorism from 0 (no impact) to 10 (highest impact). Full Article
senegal Senegal Unemployment Rate By tradingeconomics.com Published On :: Tue, 03 Dec 2019 17:48:00 GMT Unemployment Rate in Senegal increased to 19 percent in the first quarter of 2019 from 15.10 percent in the fourth quarter of 2018. Unemployment Rate in Senegal averaged 14.49 percent from 1994 until 2019, reaching an all time high of 25.70 percent in the fourth quarter of 2013 and a record low of 5.60 percent in the fourth quarter of 2002. In Senegal, the unemployment rate measures the number of people actively looking for a job as a percentage of the labour force. This page provides - Senegal Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news. Full Article
senegal Senegal Current Account By tradingeconomics.com Published On :: Tue, 03 Dec 2019 17:57:00 GMT Senegal recorded a Current Account deficit of 1779.70 XOF Billion in 2018. Current Account in Senegal averaged -361.66 XOF Billion from 1980 until 2018, reaching an all time high of -81.70 XOF Billion in 1980 and a record low of -1779.70 XOF Billion in 2018. Current Account is the sum of the balance of trade (exports minus imports of goods and services), net factor income (such as interest and dividends) and net transfer payments (such as foreign aid). This page provides - Senegal Current Account - actual values, historical data, forecast, chart, statistics, economic calendar and news. Full Article
senegal Senegal GDP From Mining By tradingeconomics.com Published On :: Tue, 31 Dec 2019 09:35:00 GMT GDP From Mining in Senegal decreased to 71.90 Million FCFA in the third quarter of 2019 from 73.60 Million FCFA in the second quarter of 2019. GDP From Mining in Senegal averaged 32.75 Million FCFA from 2011 until 2019, reaching an all time high of 75.50 Million FCFA in the first quarter of 2019 and a record low of 10 Million FCFA in the fourth quarter of 2013. This page provides - Senegal Gdp From Mining- actual values, historical data, forecast, chart, statistics, economic calendar and news. Full Article
senegal Senegal GDP per capita By tradingeconomics.com Published On :: Tue, 07 Jan 2020 18:08:00 GMT The Gross Domestic Product per capita in Senegal was last recorded at 1546.50 US dollars in 2018. The GDP per Capita in Senegal is equivalent to 12 percent of the world's average. GDP per capita in Senegal averaged 1203.57 USD from 1960 until 2018, reaching an all time high of 1546.50 USD in 2018 and a record low of 1001.40 USD in 1994. The GDP per capita is obtained by dividing the country’s gross domestic product, adjusted by inflation, by the total population. This page provides the latest reported value for - Senegal GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. Full Article
senegal Senegal Current Account to GDP By tradingeconomics.com Published On :: Wed, 08 Jan 2020 19:02:00 GMT Senegal recorded a Current Account deficit of 6.90 percent of the country's Gross Domestic Product in 2018. Current Account to GDP in Senegal averaged -9.71 percent from 1980 until 2018, reaching an all time high of -4.20 percent in 2016 and a record low of -20.10 percent in 1981. The Current account balance as a percent of GDP provides an indication on the level of international competitiveness of a country. Usually, countries recording a strong current account surplus have an economy heavily dependent on exports revenues, with high savings ratings but weak domestic demand. On the other hand, countries recording a current account deficit have strong imports, a low saving rates and high personal consumption rates as a percentage of disposable incomes. This page provides - Senegal Current Account to GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news. Full Article
senegal Senegal Corruption Index By tradingeconomics.com Published On :: Thu, 23 Jan 2020 09:43:00 GMT Senegal scored 45 points out of 100 on the 2019 Corruption Perceptions Index reported by Transparency International. Corruption Index in Senegal averaged 35.95 Points from 1998 until 2019, reaching an all time high of 45 Points in 2016 and a record low of 29 Points in 2001. The Corruption Perceptions Index ranks countries and territories based on how corrupt their public sector is perceived to be. A country or territory’s score indicates the perceived level of public sector corruption on a scale of 0 (highly corrupt) to 100 (very clean). This page provides the latest reported value for - Senegal Corruption Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. Full Article
