Updated
26 September 2018
| Dataset date: January 01, 1950-December 31, 2050
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
Updated
26 September 2018
| Dataset date: January 01, 1950-December 31, 2050
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
Updated
26 September 2018
| Dataset date: January 01, 1950-December 31, 2050
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
Updated
26 September 2018
| Dataset date: January 01, 1950-December 31, 2050
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
Updated
13 September 2018
| Dataset date: July 01, 2018-July 01, 2018
This dataset provides numbers of suspected cholera cases, deaths, case fatality rates (%) and attack rates (per 1,000) by Governorate in the Yemen cholera outbreak since 27 April 2017.
The data are manually extracted from the Yemen cholera outbreak epidemiology updates produced by WHO Yemen. The updates are posted on the Yemen Situation Reports page on the WHO Regional Office for the Eastern Mediterranean site. This dataset contains data from the daily and weekly updates up to the weekly report published on 7 July 2018.
Updated
11 September 2018
| Dataset date: September 06, 2018-September 06, 2018
Data contains Syria IDP arrival estimations for July 2018, January 2016-July 2018 summary and table shows origin to destination estimation by governorate for July 2018.
Updated
11 September 2018
| Dataset date: July 31, 2018-July 31, 2018
The Database and dashboard covers the regional humanitarian situation including targets, results and funding all as of July 2018 for entire Southern and Eastern Africa.
Updated
11 September 2018
| Dataset date: September 11, 2018-September 11, 2018
The current literature on energy access highlights energy deprivation on a regional or country basis, but frequently neglects those outside of national energy agendas such as refugees and displaced people. To fill this gap and to help inform future analysis, we used an end-use accounting model for energy consumption for cooking and lighting by displaced populations to create this dataset. The data includes three high-level scenarios for improving access to energy for cooking and lighting. There is a strong human, economic, and environmental case to be made for improving energy access for refugees and displaced people, and for recognising energy as a core concern within humanitarian relief efforts.
Updated
10 September 2018
| Dataset date: May 01, 2018-May 01, 2018
This data is the collection of perception of people affected by earthquake in Nepal. The data is collected in 14 district of Nepal which has more than sixty percent of damage level by earthquake in 2015. The total of 2100 people are surveyed in various VDC of the district.
Updated
4 September 2018
| Dataset date: April 01, 2018-June 30, 2018
The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
Updated
4 September 2018
| Dataset date: January 01, 2017-December 31, 2017
Overview of the total outreach from the 18 national associations in West and Central Africa. Detailed data set on the services provided at the national level will be available soon
Updated
25 July 2018
| Dataset date: September 30, 2017-September 30, 2017
This dataset contains the location of affected schools by village, district, and governorate level. Includes number of students by gender, state of damage, school affected status, cause of damage, damage description, among other variables.
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
7 July 2018
| Dataset date: April 04, 2017-April 04, 2017
FR: Cadre harmonisé d'identification des zones à risque et des populations vulnérables. Situation courante de mars à mai 2017 et situation projétée de juin à aout 2017.
EN: Harmonised framework of the identifying risks and the vulnerables people. The file contain the current situation from March to May and the predictive situation for the period from June to August.
Updated
1 June 2018
| Dataset date: September 17, 2017-September 30, 2017
This data is collected from the survey conducted in 14 earthquake affected district in Nepal in September 2017. Total of 2100 respondent were interviewed.
All VDCs in the 14 priority affected districts in which 60 percent or more of the households are eligible for the housing reconstruction grant will be considered part of the survey’s operating area, and eligible for random selection. The population of each district will be considered the total population of all eligible VDCs, as per the 2011 census. The first 2000 samples of the survey will then be distributed by district proportionally.
The remaining 100 surveys will be allocated to districts where the total proportional sample size is under 100 respondents, in order to boost the population for an adequate district level analysis of the findings. The number of VDCs selected in each district will vary, depending upon the number of samples allocated to each district. Each VDC will have a minimum of two wards sampled, and each ward a minimum of 10
surveys completed. Both VDCs and wards will be randomly selected from the list of eligible VDCs. Twenty-ve percent of the total sample will be allocated for municipalities, and municipalities will be randomly selected where there is more than one municipality in a district. In municipalities a minimum of three wards will be sampled, with a minimum of 10 surveys collected per ward
Updated
31 May 2018
| Dataset date: January 01, 2018-March 31, 2018
The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
