Northern

Data is available for the 17 countries covered by the SWAC/OECD (Benin, Burkina Faso, Cabo Verde, Chad, Cote d'Ivoire, The Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Senegal, Sierra Leone and Togo).   Agglomerated population: Population of urban agglomerations above 10 000 inhabitants.

Census Populations from 1980, 1991, 2002 and  2014 by District

Sierra Leone: Population and Housing Census Thematic Population Report on Population Projection

Ebola : Sub-national time series data on Ebola cases and deaths, 2015

Employment and Labor Force of Sierra Leone

Data citation: Data retrieved from the Area Database of the Global Data Lab, https://globaldatalab.org/areadata/, Version 4.4.1Smits, J. GDL Area Database. Sub-national development indicators for research and policy making.Smits GDL Working Paper 16-101 v44.pdf Smits GDL Working Paper 16-101 v44.docx

Geolocation of urban agglomerations in West Africa.

Data cited at: https://sierraleone.opendataforafrica.org/SLRST2016

This dataset contains indicators related to health facilities and family planning in Sierra Leone.

DescriptionThis is a crowd sourced effort to collect information about hospitals such as number of doctors, number of beds and list of healthcare services  offerred by the hospitals.  List of Indicators: 1. Hospital Name 2. GIS data 3. Location name (e.g.: Zorzor city, Lofa country) 4. Hospital ownership model (public/ private-for-profit/ NGO) 5. Referral level (primary, secondary, tertiary, quaternary) 6. # of staff total (Full time employees) 7. # of nurses (Full time employees) 8. # of doctors (Full time employees) 9. Current number of beds 10. Max number of beds 11. Current Occupancy Rate 12. # of operating rooms 13. Running water (Yes/No/Sometimes) 14. Electricity (Yes/No/Sometimes) 15. List of main healthcare services offered

Household Characteristics of Sierra Leone

This Dataset shows the modelled parasite rate for Plasmodium falciparum for the years 2000-2015 for all African countries where it is endemic. The Dataset shows the percentage of 2-10 year olds infected by the parasite for each year.

Morbidity and Mortality of Sierra Leone

Sierra Leone 2015 Population and Housing Census - Thematic Report on Nuptiality and Fertility   EXECUTIVE SUMMARY This report considers nuptiality and fertility in Sierra Leone using data obtained from the 2015 Population and Housing Census. The objectives of the report included an analysis of the levels, pattern and trends of the current and lifetime fertility and nuptiality in the country. Various direct and indirect methods were used to analyse the data on both variables. Direct methods include calculation of percentages, rates and ratios. Specific indirect methods used were the Trussell P/F Ratio method and the Relational Gompertz methods (from the Bureau of Census USA). These indirect techniques were used to assess and adjust the current fertility data to minimize inaccuracies, such as poor reporting of births, which have resulted in very low fertility indicators such as the reported total fertility rate.   The findings of this report suggest that levels of fertility have not changed much for 30 years. The total fertility rate is still in the region of six children per woman, the same rate as that recorded in the 1985 Census. The crude birth rate, the general fertility rate, the gross reproduction rate and the number of children ever born have also remained roughly the same. The mean age at childbearing is in the region of 30 years. Marriage is a common phenomenon amongst both men and women, although more women are married than men. Marital fertility is far higher than non-marital fertility. The reported fertility rate for currently married monogamous women is 3.1 children; women married in polygamous unions have 3.9 children, while the never married women have 0.24 children. These results suggest that the incidence of births outside marriage is low in Sierra Leone. Sierra Leone’s Customary Marriage and Divorce Act states that girls cannot marry before 18 years of age. However the data suggests that the singulate mean age at marriage is less than 18 years across the country. This seems to indicate that the Act is not being implemented effectively.   Levels of fertility, as indicated by various fertility indices such as the total fertility rate and the mean number of children ever born, have barely fallen since the national census of 1985. This would seem to suggest that the social, cultural and economic supports of high fertility still exist and there is low contraceptive use. Recommendations emerging from these analyses include a more effective implementation of the 2007 Customary Marriage and Divorce Act, through extensive educational programmes. Family planning programmes should also use similar strategies to increase the contraceptive prevalence rate, which will in turn contribute to a reduction in fertility levels.

Postharvest loss profiles (PHL profiles) quantify the expected loss – as a percentage – at each point along the postharvest chain. This loss data is collected by reviewing scientific literature and is broken down by crop, type of farm and climate type (based on the Köppen-Geiger climate classification). These profiles provide percentage loss figures for the various crops throughout the value chain under varying conditions and are updated as new research becomes available."   For complete reference information and definitions, Please visit: https://www.aphlis.net/en/page/20/data-tables#/datatables?year=20&tab=references&metric=prc

Sierra Leone : Population and Housing Census

This dataset contains Geographic data and environment related indicators of Sierra Leone.

This Dataset contains indicators related to poverty in Sierra Leone.

Latest Publication Report - Ebola Situation Report_Vol 504  

This dataset provides data on literacy rates, primary and secondary school attendance rates access to improved water and sanitation, household access to electricity, and household ownership of radio and television. Unlike other datasets, notably the World Bank’s World Development Indicators (WDI), this dataset provides data at the subnational level, specifically the first administrative district level. Furthermore, the data is comparable both within and across countries. This subnational level of data allows for assessment of education and household characteristics at a more relevant level for allocation of resources and targeting development interventions.

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/