Khartoum State

This datasets contains statistics related to Agriculture, Forestry and Livestock

Data Dictionary: https://github.com/wri/Aqueduct40/blob/master/data_dictionary_country-rankings.md#country-future  

Data cited at: Arab Monetary Fund (AMF)

Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering the latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of the overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite the opposite of crime index. If the city has a high safety index, it is considered very safe.

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

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

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.

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

Sudan : Development Indicators

Natural Conditions of Sudan