This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report. Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).
If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
https://forms.gle/DQjhE89CRegNKB3X8
Please see the METEOR project page for information about the METEOR Project:
http://meteor-project.org/
Please see the METEOR map portal for interactive maps:
https://maps.meteor-project.org/
For more information about the Open Exposure Data (OED) standard, please see
https://github.com/OasisLMF/OpenDataStandards
Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below.
These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country.
They can also be visualised and explored through the woprVision App.
The remaining datasets in the links below are produced using the "top-down" method,
with either the unconstrained or constrained top-down disaggregation method used.
Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):
- Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
-Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
-Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
-Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020.
-Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national
population estimates (UN 2019).
Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
At present over 90% of households across all three refugee camps in the Kigoma Region of Tanzania use firewood for cooking, which is being collected from the forests within, and around, the refugee camps leading to deforestation. The burden of collecting firewood also disproportionately affects women and children, who have to travel considerable distances from their homes in order to provide the necessary fuel for cooking, exposing themselves to increased risks of Sexual and Gender Based Violence (SGBV). It is from these concerns that UNHCR and partners in Kigoma Region embarked on a pilot programme to provide the PoCs with alternative cooking energy as well as launching energy saving initiatives in Nyarugusu, Nduta and Mtendeli Refugee Camps. DRC, GNTZ, REDESO, CEMDO and UNHCR were involved in the implementation of this programme which had three main components, namely, Charcoal Briquettes and LPG Comparative analysis at Nduta; manufacturing of charcoal briquettes at Nyarugusu; and community-based training on energy saving practices and SGBV awareness raising in Nduta, Mtendeli and Nyarugusu camps.
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)
-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
The UNHCR standardized expanded nutrition surveys (SENS) were conducted in the three refugee camps located in Kigoma region, the western part of Tanzania. The region has been receiving waves of refugees usually fleeing their countries particularly Burundi and the Republic Democratic of Congo (DRC) for decades now. During the surveys, Kigoma region was mainly hosting 260,906 refugees including; 58,077 Congolese in Nyarugusu old camp, 84,028 Burundians in Nyarugusu new camp, 84,691 Burundians in Nduta and 34,110 Burundians in Mtendeli camp. The under-five population was 54,395 in total including; 11,118 in Nyarugusu old camp, 16,861 in Nyarugusu new camp, 18,649 in Nduta and 7,767 in Mtendeli. Camps are located closer to host communities and to some extent the ethnical characteristics resembles especially between Burundians and the ethnic group of “Waha”, the majority in Kasulu and Kibondo districts. Unlike in previous years, the upgraded UNHCR SENS from version 2 (2013) to version 3 (2019) was piloted for the first time in Kigoma region, Tanzania between September and October 2019. In this version, seven modules were considered namely; Demography, Anthropometry and Health, Anaemia, Infant and Young Child Feeding (IYCF), Food Security, Mosquito Net Coverage and Water, Sanitation and Hygiene (WASH).
This data and report examine perceptions and the impact of COVID-19 in 12 countries throughout sub-Saharan Africa. Topics covered include greatest concerns surrounding coronavirus, preventative measures being taken, changes in food market operability and food security, consumer behavior changes, and trust in governments to prevent the spread of coronavirus. This dataset includes data from 10 of the markets. Please contact us for access to data from all markets, the questionnaire, and with any other questions.
UNHCR in Tanzania hosts refugees in Kigoma region in Kasulu and Kibondo districts located in the North Western part of Tanzania bordering Burundi to the north and is found 78kms south west from the shores of Lake Tanganyika in the neighbouring Kigoma town. Currently there are three refugee camps namely Nyarugusu (comprising of Old and New Camps) located in Kasulu, Nduta in Kibondo district and Mtendeli in Kakonko district.
The oldest refugee camp is Nyarugusu which has been hosting refugees from the Democratic Republic of Congo and Burundi since 1996. Refugees from Burundi were repatriated voluntarily in 2012 leading to closure of some of the existing camps. The remainder population in need of protection were relocated to Nyarugusu camp where the total population then was about 65,000 as of early April 2015 majority being Congolese refugees and other minority nationalities such as Rwandese, Sudanese, Ugandans, and Kenyans.
The refugee situation changed in 2015 following the political instability after the general elections in Burundi leading exodus of some Burundians to Tanzania and other neighbouring countries. As from late April 2015 higher numbers of refugees from Burundi started arriving in Tanzania mainly through a tiny border village along Lake Tanganyika and other entry points in Kigoma region. After the influx, the total population increased causing congestion in Nyarugusu camp calling for the re-opening two camps; Nduta camp on the 7th October 2015 and Mtendeli camp on 14th January 2016.
Nyarugusu currently hosts Congolese refugees (Old Camp) and 39.4% of the Burundi refugees (New Camp) who arrived at the onset of the emergency. Nduta hosts an estimated population of 123,673 refugees who were relocated from Nyarugusu and Mtendeli hosts 52,004 who were relocated from Nyarugusu and is still receiving the new arrivals. According to UNHCR ProGres data August 2017, the total number of refugees in Kigoma Region is estimated to be 310,735.
A total 4 surveys were conducted from 21st Aug to 18th Sept 2017 covering Nyarugusu Old Camp, Nyarugusu New Camp, Nduta and Mtendeli. UNHCR coordinated the survey in collaboration with WFP, UNICEF, WVI, Tanzania Red-cross Society (TRCS), MSF as well as Ministry of interior and Health of the United Republic of Tanzania. Funding was shared between UNHCR, WFP and UNICEF. UNHCR and WFP were in charge of logistics and daily operations.
Tanzania is prone to refugee influxes, often of long duration. Despite facing its own economic challenges, for decades Tanzania has welcomed thousands of refugees fleeing conflicts in neighboring countries of Great Lakes Region. The counties geographic proximity to the strife-torn Congo Basin is responsible in part for the ease access of displaced populations. As well Tanzania was an early signatory in the region to international agreements on the rights and welfare of refugee and asylum seekers.
As of December, 2018, Tanzania host some 284,300 camp-based refugees, 77% of who are children and woman, in Nduta, Nyarugusu and Mtendeli Refugee Camps in Kigoma region in Northwest Tanzania. About 74% are from Burundi, and the remaining 26% are primarily from Democratic republic of Congo.
Following a Tripartite Commission meeting in August 2017, the governments of Tanzania, Burundi, and UNHCR agreed to assist refugees who wish to voluntarily repatriate from Tanzania to Burundi. A subsequent meeting in March 2018 reaffirmed the commitment of both governments and UNHCR to uphold the principle of voluntariness, and noted that while some refugees may opt to return, others will continue to be in need of international protection. The March 2018 Tripartite meeting also produced a work plan entailing the repatriation of approximately 2,000 refugees per week from 5 April to 31 December 2018. As from January to 30th September 2018, a total of 52,260 refugees were assisted to voluntarily repatriate to Burundi from Tanzania in 88 Convoys; bringing the total repatriated from September 2017 to 57,865 of which 57.2% are children.
This is the 5th SENS survey among the refugees in Nyarugusu since the first survey in September 2012 second in September 2014. Assessments in 2016, 2017 and 2018 covered all the three camps of Nyarugusu (old & New Camp), Nduta and Mtendeli. The current survey was conducted as from 16th September to October 13th 2018, with a total of 4 assessments.
This report provides the findings of the standard expanded Nutrition survey (SENS) which was conducted in the three refugee camps in Tanzania, Nyarugusu, Nduta and Mtendeli from 15th August to 23rd September 2016. Two surveys were conducted in Nyarugusu refugee camp to allow comparison among the old population predominantly from the Democratic Republic of Congo and the new arrivals mostly the Burundians and Congolese who arrived in the camp as from May 2015.
The main objective of the 2016 nutrition survey was to determine the health and nutrition status among children 6-59 months living in the refugee camps. Additional indicators on child health such as immunization, vitamin A supplementation, incidence of diarrhoea in the past two weeks, infant and young child feeding practices (IYCF) and anaemia prevalence among children aged 6- 59 months and non -pregnant women aged 15 - 59 years, household food security, WASH, Mosquito net coverage and mortality were also assessed.
The survey employed the Standardised Monitoring and Assessment of Relief and Transitions (SMART) methodology in accordance with the UNHCR Standardised Expanded Nutrition Survey guidelines V2 2013. Multi-stage cluster sampling method was applied to select households in Nyarugusu and Mtendeli camps whereas simple random sampling was used in Nduta refugee camps. In all the camps a total of 2062 children 6- 59 months were assessed during the survey period. The population of non-pregnant women of reproductive age (15-49 years) is not stated.
This dataset is based on a survey conducted to assess learning outcomes at household level. The dataset also include data from schools where majority of the children attend
The Database and dashboard covers the regional humanitarian situation including targets, results and funding all as of December 2019 for entire Eastern and Southern Africa. Annual 2019 Database.
The AFDB Statistical Data Portal has been developed in response to the increasing demand for statistical data and indicators relating to African Countries. The Portal provides multiple customized tools to gather indicators, analyze them, and export them into multiple formats.
With the Data Portal, you can visualize Socio-Economic indicators over a period of time, gain access to presentation-ready graphics and perform comprehensive analysis on a Country and Regional level
This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards.The data is updated in near-real time from OSM servers and include all latest updates.
The Database and dashboard covers the regional humanitarian situation including targets, results and funding all as of February 1 2019 for entire Southern and Eastern Africa.
This dataset contains agency- and publicly-reported data on sexual violence and abuse against aid workers between January 2015 and December 2017.
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
The Database and dashboard covers the regional humanitarian situation including targets, results and funding all as of December 18 2018 for entire Southern and Eastern Africa.
