Guyana

Key Figures
  • Updated 27 September 2022 | Dataset date: January 01, 2011-December 31, 2021
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
    48000+ Downloads
    This dataset updates: Every month
  • Updated 25 September 2022 | Dataset date: January 01, 1991-December 31, 2021
    Prices for Guyana. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
    500+ Downloads
    This dataset updates: Every year
  • Updated 19 September 2022 | Dataset date: September 19, 2022-September 19, 2022
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
    700+ Downloads
    This dataset updates: Every month
  • Updated 15 September 2022 | Dataset date: January 01, 1961-December 31, 2019
    Contains data from World Health Organization's data portal covering the following categories: Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, Neglected Tropical Diseases, World Health Statistics, Health financing, Tobacco, Substance use and mental health, Injuries and violence, HIV/AIDS and other STIs, Public health and environment, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Health inequality monitor, Health Equity Monitor, Child malnutrition, TOBACCO, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, 0, Insecticide resistance, Oral health, Universal Health Coverage, Global Observatory for eHealth (GOe), RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, AMR GLASS, Noncommunicable diseases and mental health, Health workforce, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Immunization, NLIS For links to individual indicator metadata, see resource descriptions.
    9600+ Downloads
    This dataset updates: Every month
  • Updated 3 September 2022 | Dataset date: January 25, 2008-June 17, 2008
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
    400+ Downloads
    This dataset updates: Every month
  • The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Guyana: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
    1500+ Downloads
    This dataset updates: As needed
  • Updated 18 July 2022 | Dataset date: January 01, 2012-December 31, 2021
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
    600+ Downloads
    This dataset updates: Every six months
  • Updated 30 June 2022 | Dataset date: June 30, 2022-June 30, 2022
    Guyana population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand (LINZ Data Service) NZ Building Outlines and OpenStreetMap data. Gobal version of population dataset: Kontur Population: Global Population Density for 400m H3 Hexagons
    This dataset updates: As needed
  • Updated 28 June 2022 | Dataset date: February 17, 2021-March 03, 2021
    In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.
    800+ Downloads
    This dataset updates: Every year
  • UNOSAT code: FL20220526GUY This map illustrates cumulative satellite-detected water using VIIRS in Guyana between 25 to 29 May 2022 compared with the period from 20 to 24 May 2022. Within the cloud free analyzed areas of about 205,000 km2, a total of about 3,900 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,200 km2 since the period between 20 to 24 may 2022. Based on Worldpop population data and the maximal flood water coverage, ~22,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • UNOSAT code: FL20220526GUY This map illustrates satellite-detected surface waters along the Rupununi river in Upper Takutu-Upper Essequibo Region of Guyana as observed from a Sentinel-1 image acquired on 26 May 2022 at 09:45 UTC. Within the analyzed area of about 14,000 km2, a total of about 320 km2 of lands were observed as flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas
    This dataset updates: Never
  • Updated 19 June 2022 | Dataset date: January 01, 2008-December 31, 2021
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
    300+ Downloads
    This dataset updates: Every year
  • Updated 31 May 2022 | Dataset date: March 01, 2020-May 22, 2022
    NOTE: We plan to no longer update this dataset after May 22 2022. These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/
    48000+ Downloads
    This dataset updates: As needed
  • Updated 13 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    Guyana administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
    This dataset updates: As needed
  • Updated 30 March 2022 | Dataset date: January 01, 2021-December 31, 2021
    Full dataset of the RMRP 2021, Activities, Partners, People in Need, Population projections 2021, target with full age gender breakdown, population type. More info on the Activity Explorer http://bit.ly/AE-RMRP2021
    300+ Downloads
    This dataset updates: Never
  • Updated 22 March 2022 | Dataset date: January 01, 2020-February 28, 2022
    These datasets comprise publicly reported cases of sexual violence by law enforcement bodies, conflict related sexual violence, and sexual violence that targets IDPs / refugees or vulnerable beneficiaries from information available in local, national and international news outlets and online databases. Dataset for South Sudan currently available. Other datasets covering the DRC, Ethiopia, Nigeria and South Sudan will soon be available.
    400+ Downloads
    This dataset updates: As needed
  • Updated 10 March 2022 | Dataset date: January 01, 2021-September 28, 2022
    The RMRP establishes an integral response plan to the identified needs of refugees and migrants from Venezuela and their affected host communities in 17 countries of Latin America and the Caribbean. The objective of monitoring these activities is to ensure that transparent, regular updates in the status of implementation of the RMRP are given to governments, donors, RMRP partners, and beneficiary communities of host countries. To facilitate this process, in the planning stage of the RMRP, all the appealing organizations presented details on their planned activities for 2021, divided by sector and by platform, with specific indicators for each sector. These indicators will be used to measure the implementation progress of each activity throughout the year using the 5W system established in ActivityInfo. The RMRP monitoring is crucial to show how the who/what/when/where/to whom goals and objectives established in the RMRP are being achieved. Together with their partners, the national and subregional Coordination Platforms established sectoral objectives for the population groups that required assistance. The data about the number of services offered and about the number of people that receive these services, among other variables, allow every Coordination Platform to measure the implementation progress with respect to their goals and objectives; this also provides an accountability tool for governments and donors. At the same time, it will allow platforms to improve their interagency assistance by being able to coordinate activities, avoid the duplication of efforts and fill gaps in the assistance provided. Warning: The consolidated data for the 5Ws is a summary of the number of beneficiaries that have been reached by RMRP Activities during a given month, and until a given month. Each countries defines unique aggregation models to calculate the number of persons reached for each sector and intersector. For this reason, summing all activities beneficiaries is irrelevant and would not be valid. To get information about people reached, please refer to the document "People reached RMRP 2021" https://data.humdata.org/dataset/rmrp-2021-activity-repository
    30+ Downloads
    This dataset updates: Never
  • UNOSAT code: FL20210817GUY This map illustrates satellite-detected surface waters in the Upper Takutu-Upper Essequibo Regions of Guyana using NOAA-VIIRS between 12th and 16th of August 2021. Within the analysed area of about 24,462 km2, a total of about 1417 km2 of lands were observed as flooded. Based on Worldpop spatial demographic data,approximately 2153 people are exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    This dataset updates: Never
  • UNOSAT code: FL20210520GUY This map illustrates satellite-detected surface waters along the Mazaruni river in Cuyuni-Mazaruni Region of Guyana as observed from Sentinel-1 radar image acquired on 23 June 2021 at 22:15 UTC. Within the analyzed area of about 480 km2, the water extent appears to have decreased of about 3 km2 since 9 June 2021. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
    This dataset updates: Never
  • UNOSAT code: FL20210520GUY This map illustrates satellite-detected surface waters along the Rupununi river in Upper Takutu-Upper Essequibo Region of Guyana as observed from Sentinel-1 image acquired on 12 June 2021 at 09:45 UTC. Within the analyzed area of about 6,500 km2, a total of about 235 km2 of lands were observed as flooded and the road about 26 km are potentially affected by the floods. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
    This dataset updates: Never
  • Updated 18 February 2022 | Dataset date: June 11, 2021-June 11, 2021
    UNOSAT code: FL20210520GUY This map illustrates satellite-detected surface waters in Guyana as observed from a Joint VIIRS-ABI flood product acquired on 6 & 8 June 2021. Within the analyzed cloud free zones of about 140,000 km2, a total of about 2,000 km2 of lands appear to be flooded. The overall water extent as detected on the 8 June 2021 appears to have decreased of about 1,000 km2 since 6 June 2021. Based on Worldpop population data and the detected surface waters, about 30,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the Region 6 with ~10,000 people and Region 2 & 5 with ~6,000 people each. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    This dataset updates: Never
  • UNOSAT code: FL20210520GUY This map illustrates satellite-detected surface waters along the Mazaruni river in Cuyuni-Mazaruni Region of Guyana as observed from RCM-2 radar image acquired on 09 June 2021 at 22:17 UTC. Within the analyzed area of about 700 km2, a total of about 4 km2 of lands were observed as flooded. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
    This dataset updates: Never
  • UNOSAT code: FL20210520GUY This map illustrates satellite-detected surface waters along the Berbice river in Upper Demerara-Berbice Region of Guyana as observed from RCM-2 radar image acquired on 07 June 2021 at 22:21 UTC. Within the analyzed area of about 38,000 ha, a total of about 48 ha of lands were observed as flooded. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
    This dataset updates: Never
  • UNOSAT code: FL20210520GUY This map illustrates cumulative floods using NOAA20-VIIRS data in Guyana between the 2nd and the 6th of June 2021. Within the analyzed cloud free zones of about 200,000 km2, a total of about 5,000 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 80,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the Region 6 with ~22,000 people, Region 3 with ~19,000 and Region 5 with ~15,000 people. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    This dataset updates: Never
  • Updated 11 February 2022 | Dataset date: April 01, 2021-September 28, 2022
    The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution. Please cite / attribute any use of this dataset using the following: Microestimates of wealth for all low- and middle-income countries Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119 More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119 Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/
    18000+ Downloads
    This dataset updates: As needed