Angola

Key Figures
  • Time Period of the Dataset [?]: January 01, 2020-February 14, 2024 ... More
    Modified [?]: 26 February 2024
    Dataset Added on HDX [?]: 28 February 2018
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, injured, kidnapped, or arrested (KIKA). Categorized by country. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
    5200+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: February 21, 2013-February 07, 2024 ... More
    Modified [?]: 8 February 2024
    Dataset Added on HDX [?]: 9 January 2019
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
    400+ Downloads
    This dataset updates: Every three months
    This dataset is part of the data series [?]: Global Healthsites Mapping Project - Healthsites
  • Time Period of the Dataset [?]: January 01, 1990-December 31, 2021 ... More
    Modified [?]: 7 February 2024
    Dataset Added on HDX [?]: 29 April 2020
    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: UNDP Human Development Reports Office - Human Development Indicators
  • Time Period of the Dataset [?]: January 01, 2006-December 31, 2015 ... More
    Modified [?]: 20 January 2024
    Dataset Added on HDX [?]: 27 January 2020
    Contains data from the DHS data portal. There is also a dataset containing Angola - National Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
    1800+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: The DHS Program - Subnational Health and Demographic Data
  • Time Period of the Dataset [?]: January 01, 2006-December 31, 2015 ... More
    Modified [?]: 20 January 2024
    Dataset Added on HDX [?]: 8 August 2019
    Contains data from the DHS data portal. There is also a dataset containing Angola - Subnational Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
    2100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: The DHS Program - Subnational Health and Demographic Data
  • Time Period of the Dataset [?]: January 01, 2020-September 30, 2023 ... More
    Modified [?]: 13 November 2023
    Dataset Added on HDX [?]: 11 January 2022
    This dataset contains publicly-reported cases of sexual violence by conflict actors, security personnel, and sexual violence violence that targets aid workers, educators, health workers and IDPS/refugees. Please get in touch if you are interested in curated datasets.
    800+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    Angola 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, and OpenStreetMap data.
    10+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
  • Time Period of the Dataset [?]: December 14, 2020-November 09, 2023 ... More
    Modified [?]: 29 October 2023
    Dataset Added on HDX [?]: 27 May 2020
    Immunization campaigns impacted due to COVID-19
    1700+ Downloads
    This dataset updates: Live
  • Time Period of the Dataset [?]: August 01, 2020-March 29, 2024 ... More
    Modified [?]: 29 October 2023
    Dataset Added on HDX [?]: 24 August 2020
    The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
    400+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2009-December 31, 2022 ... More
    Modified [?]: 20 September 2023
    Dataset Added on HDX [?]: 4 September 2017
    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. "Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year. "Internal displacements (New Displacements)" 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.
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: IDMC - Internally displaced persons
  • Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 30 August 2023
    Dataset Added on HDX [?]: 8 September 2020
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023).
    80+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More
    Modified [?]: 20 July 2023
    Dataset Added on HDX [?]: 15 February 2018
    Angola administrative level 0-2 sex and age disaggregated 2023 projected population statistics Please see caveats about one special location. These CSV tables are suitable for database or GIS linkage to the administrative level 0-2 shapefiles.
    COD 1800+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Population Statistics
  • Time Period of the Dataset [?]: April 07, 2022-April 07, 2022 ... More
    Modified [?]: 10 July 2023
    Dataset Added on HDX [?]: 11 April 2022
    Angola 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. Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
    30+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Administrative Division with Aggregated Population
  • Time Period of the Dataset [?]: July 01, 2019-March 31, 2022 ... More
    Modified [?]: 26 May 2023
    Dataset Added on HDX [?]: 8 July 2020
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports. There is also a global dataset.
    300+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
  • Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    The dataset consists of settlement extents across Angola, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.
    30+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
  • Time Period of the Dataset [?]: August 30, 2018-March 29, 2024 ... More
    Modified [?]: 4 April 2023
    Dataset Added on HDX [?]: 30 August 2018
    Angola administrative level 0 (country), 1 (province), 2 (municipality | city council) and 3 (commune) boundary polygon, line, and point shapefiles, live services, and geodatabase; and gazetteer Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. The administrative level 0-2 shapefiles are suitable for database or ArcGIS linkage to the Angola - Subnational Population Statistics. REVISION HISTORY 12 November 2020: EMF files added 20 February 2020: shapefiles consolidated into one ZIP file
    COD+ 4800+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
  • Time Period of the Dataset [?]: September 01, 2016-March 29, 2024 ... More
    Modified [?]: 24 March 2023
    Dataset Added on HDX [?]: 19 March 2019
    More than 200 million businesses use Facebook globally. The goal of Meta’s quarterly Small Business Surveys is to learn about the unique perspectives, challenges and opportunities of small and medium-sized businesses (SMBs). The Future of Business (FoB) Survey is conducted biannually in partnership with the World Bank and the Organisation for Economic Cooperation and Development (OECD) across nearly 100 countries. The target population consists of SMEs that have an active Facebook Business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. Meta also conducts the Global State of Small Business (GSoSB) Survey bi-annually in partnership with various academic partners across approximately 30 countries. Similarly to the FoB Survey, the target population is active Facebook Page Administrators, but also includes the general population of Facebook users. Survey questions for all surveys cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, gender inequity, access to finance, digital technologies, reduction in revenues, business closures, international trade, inflation, reduction of employees and challenges/needs of the business. Aggregated country level data for each survey wave is available to the public on HDX and controlled access microdata is available to Data for Good at Meta partners. Please visit https://dataforgood.facebook.com/dfg/tools/future-of-business-survey to apply for access to microdata or contact dataforgood@fb.com for any questions.
    14000+ Downloads
    This dataset updates: Every three months
  • Time Period of the Dataset [?]: January 01, 2017-October 31, 2023 ... More
    Modified [?]: 15 March 2023
    Dataset Added on HDX [?]: 13 May 2020
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
    1200+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
  • Time Period of the Dataset [?]: April 01, 2021-March 29, 2024 ... More
    Modified [?]: 17 February 2023
    Dataset Added on HDX [?]: 8 April 2021
    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/
    21000+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: February 08, 2021-March 29, 2024 ... More
    Modified [?]: 29 December 2022
    Dataset Added on HDX [?]: 25 January 2021
    Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country
    400+ Downloads
    This dataset updates: Live
  • Time Period of the Dataset [?]: May 01, 2018-May 01, 2018 ... More
    Modified [?]: 22 December 2022
    Dataset Added on HDX [?]: 16 August 2018
    The zip file contains Health region (adm1) and districts boundaries (adm2) for DRC in shapefile and GeoJSON format. These datasets can be found in the WHO Ebola open data platform: https://ebolaoutbreak2018-who.opendata.arcgis.com
    500+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: January 01, 1970-December 31, 2019 ... More
    Modified [?]: 20 December 2022
    Dataset Added on HDX [?]: 20 September 2019
    Education indicators for Angola. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2022 September), Other Policy Relevant Indicators (made 2022 September), Demographic and Socio-economic (made 2022 September)
    600+ Downloads
    This dataset updates: Every three months
    This dataset is part of the data series [?]: UNESCO - Education Indicators
  • Time Period of the Dataset [?]: July 25, 2019-July 25, 2019 ... More
    Modified [?]: 13 December 2022
    Confirmed [?]: 26 December 2023
    Dataset Added on HDX [?]: 10 February 2020
    This master list of health facilities was developed from a variety of government and non-government sources from 50 countries in sub-Saharan Africa. It uses multiple geocoding methods to provide a comprehensive spatial inventory of 98 745 public health facilities. Each data record represents a health facility and has 8 descriptive variables – Location identifiers including: country, first level administrative division, latitude, longitude and LL source (source of the coordinates). Coordinates are rounded off to four decimal places for uniformity, allowing an accuracy of 5–10 metres in decimal degrees coordinate format. This geocoded master facility list has been made publicly and freely available through both the figshare repository and through the World Health Organization’s Global Malaria Programme in Microsoft Excel format.
    2900+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 18 September 2022
    Dataset Added on HDX [?]: 18 September 2022
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: February 17, 2021-March 03, 2021 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 24 June 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.
    2600+ Downloads
    This dataset updates: Every year