Updated
16 July 2018
| Dataset date: July 14, 2016-July 14, 2016
WFP Food for Education (FFE) Supported Schools in Sudan. The Microsoft Excel spread sheet contains consolidated record of FFE in in the states of Kassala, Gadaref, Gazeira, North Kordofan, Red Sea, Sennar and South Kordofan. It includes state names, locality names, locations, school names, XY coordinates (in Decimal Degrees) and education by type.
Updated
10 July 2018
| Dataset date: August 25, 2017-September 05, 2017
This resource is comprised of Twitter data collected and processed by the AIDR system during the 2017 hurricane Harvey. The data contains information about number of people affected, injured, dead, reports of damages, missing people and so on. The data was automatically classified using state of the art machine learning techniques.
Updated
8 July 2018
| Dataset date: June 04, 2018-June 21, 2018
The overall objective of the assessment is to inform the response of the Water,
Sanitation and Hygiene (WASH) Cluster for the ongoing dry spell in Afghanistan. The
assessment aims at supporting the Cluster to better identify target population groups,
priority areas and relevant interventions.
Updated
7 July 2018
| Dataset date: March 21, 2016-March 20, 2017
This tabular dataset provides the Afghanistan population estimation for the Persian calendar year 1395 (corresponding to the Gregorian period 21 March 2016 to 20 March 2017) disaggregated by districts and provincial centres (admin level 3), age, gender, and urban-rural settled populations. The total population of the country in 1395 is estimated to be around 29.1 million, which is inclusive of the 1.5 million nomadic population.
This dataset format was created on 15 August 2016 by the Information Management Unit (IMU) of the Office for the Coordination of Humanitarian Affairs (OCHA) Afghanistan. Since the Afghanistan Geodesy and Cartography Head Office (AGCHO) is recognized as the sole authoritative source a for administrative boundaries, the population estimates have also been matched to the administrative names and codes of the AGCHO dataset. The dataset include popluation estimates disaggregated by CSO province and district codes (including Kabul city districts), population estimates disaggreated by AGCHO district codes, and a lookup table that relates CSO, AGCHO and AIMS legacy codes. Note that the 1.5 million nomadic population is NOT included in the province and district population estimates. Estimated population disaggregated by age group and gender is calculated using proportion of the total estimated population falling under each cohort based on 2011/2012 National Risk and Vulnerability Assessment (NRVA) report. This data is only available at the province level.
The 2015/2016 estimations can be found on https://data.humdata.org/dataset/estimated-population-of-afghanistan-2015-2016
Updated
5 July 2018
| Dataset date: January 01, 2017-December 31, 2017
This dataset contains 29 data tables on global trends in forced displacement in 2017. The data provide trends and national and sometimes sub-national levels on refugees, asylum-seekers, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR.
Updated
4 July 2018
| Dataset date: June 26, 2018-June 26, 2018
Prévisions des précipitations se base sur les données produites par le CPC (Climate Prediction Center) de la NOAA (National Oceanic and Atmospheric Administration) sur l'Afrique de l'Ouest pour la saison d'hivernage 2018.
Updated
29 June 2018
| Dataset date: July 20, 2016-July 20, 2016
Ce jeu de données contient l'ensemble des indicateurs de la santé de la mère et de l'enfant avec le libellé des indicateurs, la définition, le mode de calcul, la source, la périodicité,le niveau et les responsables de collecte.
Updated
25 June 2018
| Dataset date: June 01, 2018-June 01, 2018
Polling Station of Pakistan compiled by ALHASAN SYSTEMS Private Limited as one of its R&D projects and in the public interest.
ALHASAN SYSTEMS made these Polling Stationpublic before Pakistan’s General Election 2018in its Open Data/ Open Access [OD/OA] Seminar on May 5, 2013. This data is used thoroughly in Pakistan by many stakeholders and researchers including UN and other donor agencies. For further details on the use of this data please download Alhasan Systems monthly Election Bulletins from [http://www.alhasan.com/bulletins/election].
ALHASAN SYSTEMS is a privately owned development company with a history that goes back to 1990. At present is registered in Pakistan and Canada. This hi-tech knowledge management, business psychology modeling, and publishing company is constantly contributing its data and services to both humanitarian and developmental causes through its Public/ Private Partnership [PPP] SKIM and ODOA initiatives. ALHASAN SYSTEMS strives to provide the most cost effective solutions and services, which not only serve its clients’ immediate requirements but also contribute to the much larger cause of community welfare and development. Its area of professional services spreads from environment, energy, health, natural resources, critical infrastructure, utilities management, tourism, and investments, to community development and crisis management. ALHASAN SYSTEMS corporate roadmap focuses on new trends in the field of Geomatics Engineering, Geo-engineering, Data Management, Bio Interfacing, Business Psychology Modeling, Hi-tech publishing, e-Learning, and Smart Power Gridding and Engineering Services. This is possible when fairly serious ecological, political, and moral ramifications are addressed strategically. That’s why social awareness, advocacy, and capacity building remain at the heart of ALHASAN SYSTEMS.
ALHASAN SYSTEMS constantly update its data in relation to its projects and also as a service to larger public bodies as well as research community to promote its pioneering 100% self-financed Open Data/ Open Access [OD/OA] initiative in Pakistan. We also share a number of additional layers and thousands of maps each year free-of-cost in the larger public interest.
All our data are made available through Pakistan’s only Metadata portal [www.geopakistan.pk] launched in 2012 by iMMAP in collaboration with its partners under USAID funding. This portal is now hosted and maintained at NED University of Engineering & Technology with hundreds of registered researchers in Pakistan.
Alhasan Systems is also a United Nations Humanitarian Data Exchange Portal [https://data.hdx.rwlabs.org/] member agency and share its resources through HDX for larger humanitarian benefits.
Updated
21 June 2018
| Dataset date: September 24, 2026-September 24, 2026
Aggregated data on food insecure population in Kenya, Ethiopia, Uganda, Sudan, South Sudan, Rwanda, Burundi, Djibouti and Somalia from Dec 2010 to Jan 2015
Updated
20 June 2018
| Dataset date: June 13, 2018-June 13, 2018
Includes a binary GeoTIFF where 0 values are non-flooded and 1 values are flooded. Included a metadata file that describes a summary and methods for the data.
