リベリア

This dataset contains data for the African countries and aggregate countries such as crude oil producers ; Sub-Saharan Africa. Data is organized under sixteen socio-economic chapters such as prices, energy, agriculture, social and AFDB aggregates which covers country scores in regional integration, social protection among others.

Data cited at GLOBAL CORRUPTION BAROMETER 2015/16/17 by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/research/gcb/gcb_2015_16/0 For the latest African edition of the Global Corruption Barometer, we partnered with the Afro barometer, which spoke to 43,143 respondents across 28 countries in Sub-Saharan Africa between March 2014 and September 2015 to ask them about their experiences and perceptions of corruption in their country. Shockingly, we estimate that nearly 75 million people have paid a bribe in the past year – some of these to escape punishment by the police or courts, but many also forced to pay to get access to the basic services that they desperately need. A majority of Africans perceive corruption to be on the rise and think that their government is failing in its efforts to fight corruption; and many also feel dis empowered as regards to taking action against corruption. In Sierra Leone, Nigeria, Liberia and Ghana citizens are the most negative about the scale of corruption in their country.  TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

Data cited at: The African Development Bank: The Africa Infrastructure Development Index (AIDI): https://infrastructureafrica.opendataforafrica.org/pbuerhd https://dataportal.opendataforafrica.org/AIDI The Africa Infrastructure Development Index (AIDI) is produced by the African Development Bank. The AIDI serves a number of key objectives, principally: (i) to monitor and evaluate the status and progress of infrastructure development across the continent; (ii) to assist in resource allocation within the framework of ADF replenishments; and (iii) to contribute to policy dialogue within the Bank and between the Bank, RMCs and other development organizations.

Data cited at: The African Development Bank: Africa Millennium Development Goals: https://dataportal.opendataforafrica.org/yepwdve/africa-millennium-development-goals Africa Millennium Development Goals

Data Cited at: The African Development Bank: Ports: https://www.infrastructureafrica.org/sectors/ports/ The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries. Between them, these countries account for 85 percent of the sub-Saharan Africa population, GDP, and infrastructure inflows. The countries included in the initial study were: Benin, Burkina Faso, Cameroon, Cape Verde, Chad, Côte d’Ivoire, Democratic Republic of Congo, Ethiopia, Ghana, Kenya, Lesotho, Madagascar, Malawi, Mozambique, Namibia, Niger, Nigeria, Rwanda, South Africa, Senegal, Sudan, Tanzania, Uganda, and Zambia. The study also represents an unprecedented effort to collect detailed economic and technical data on African infrastructure in relation to the fiscal costs of each of the sectors, future sector investment needs, and sector performance indicators. As a result, it has been possible for the first time to portray the magnitude of the continent’s infrastructure challenges and to provide detailed and substantiated estimates on spending needs, funding gaps, and the potential efficiency dividends to be derived from policy reforms.

Africa Report on Child Wellbeing - Access to services  TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

Africa Report on Child Wellbeing - Education

Africa Report on Child Wellbeing - Exclusion Indicators

Africa Report on Child Wellbeing - HIV AIDS

Africa Report on Child Wellbeing - International and regional Child Related Legal Instruments

Africa Report on Child Wellbeing - Maternal and child Health

Africa Report on Child Wellbeing - Population

Africa Report on Child Wellbeing - Government expenditure

The baseline forecast is for global growth to slow from 3.5 percent in 2022 to 3.0 percent in 2023 and 2.9 percent in 2024, well below the historical (2000–19) average of 3.8 percent. Advanced economies are expected to slow from 2.6 percent in 2022 to 1.5 percent in 2023 and 1.4 percent in 2024 as policy tightening starts to bite. Emerging market and developing economies are projected to have a modest decline in growth from 4.1 percent in 2022 to 4.0 percent in both 2023 and 2024. Global inflation is forecast to decline steadily, from 8.7 percent in 2022 to 6.9 percent in 2023 and 5.8 percent in 2024, due to tighter monetary policy aided by lower international commodity prices. Core inflation is generally projected to decline more gradually, and inflation is not expected to return to target until 2025 in most cases.

African Child Observatory Dataset, 2018

Data cited at: The African Development Bank: African Development Bank, Food Security: https://dataportal.opendataforafrica.org/qhrkxae/african-development-bank-food-security-december-2011 African Development Bank, Food Security

Data cited at: The African Development Bank: African Economic Outlook:  https://dataportal.opendataforafrica.org/mhuiccf

Overall Governance scores in the Ibrahim Index of African Governance (IIAG), the most comprehensive dataset on African governance, point to a strong correlation with performance in the Africa SDG Index, underscoring the importance of good governance to sustainable development in Africa. 

Rotterdam International  Benchmark:  Hub Attractiveness Score:  421 Port Performance Rating: 129

Data cited at: ATAF Databank, the African Tax Administration Forum

This dataset contains production data for 2017-2019 and forecast data for 2020 and 2021 Data cited at: ATAF Databank, the African Tax Administration Forum

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Africa's Infrastructure: Airports Publication: https://datacatalog.worldbank.org/dataset/africas-infrastructure-airports License: http://creativecommons.org/licenses/by/4.0/   The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Africa's Infrastructure: Airports Publication: https://datacatalog.worldbank.org/dataset/africas-infrastructure-airports License: http://creativecommons.org/licenses/by/4.0/   The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation.   The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.

Data cited at: The African Development Bank: Rail Database: http://infrastructureafrica.opendataforafrica.org/wtkpuqe/rail-database-2014

Africa's Power Infrastructure: Investment, Integration, Efficiency by Anton Eberhard, Orvika Rosnes, Maria Shkaratan, Haakon Vennemo and Published by the World Bank.

Data cited at: https://dataportal.opendataforafrica.org/rtufdnc/social This Dataset describes the list of common indicators from census datasets of African countries.

Data cited at: Consumer price indexes, The International Monetary Fund Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.

Cost of health consulting services, diagnostics services and clinical procedures in major cities/towns and the public and private healthcare services points in each location.

Collect the cost of Consulting Services, diagnostics services and clinical procedures. If you are residing in Major cities/towns where you have both Public and Private Healthcare services, you can join this project and earn money.

Data cited at:  The African Development Bank: Dataset name: Country Policy and Institutional Assessment (CPIA) - https://cpia.afdb.org/?page=data

Data sited at: The Humanitarian Data Exchange  https://data.humdata.org/ Publication URL: https://data.hdx.rwlabs.org/dataset/sub-national-data-of-confirmed-cumulative-ebola-by-gender License: https://creativecommons.org/licenses/by/4.0/   The dataset only contains data on the confirmed Ebola cases. This dataset is updated occasionally.

Ebola : Sub-national time series data on Ebola cases and deaths, 2015

 

African Country Budgets, Key Indicators CABRI provides up-to-date and regular information and analysis on African national budgets.

This Dataset shows the modelled parasite rate for Plasmodium falciparum for the years 2000-2015 for all African countries where it is endemic. The Dataset shows the percentage of 2-10 year olds infected by the parasite for each year.

Data cited at: The African Development Bank: Making Finance Work for Africa: https://dataportal.opendataforafrica.org/bhbdqhc/making-finance-work-for-africa   Making Finance Work for Africa

Data cited at: https://high5.opendataforafrica.org/oiyxyh

Data cited at: The African Development Bank: National Infrastructure Database: https://www.infrastructureafrica.org/dataquery/ The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries. Between them, these countries account for 85 percent of the sub-Saharan Africa population, GDP, and infrastructure inflows. The countries included in the initial study were: Benin, Burkina Faso, Cameroon, Cape Verde, Chad, Côte d’Ivoire, Democratic Republic of Congo, Ethiopia, Ghana, Kenya, Lesotho, Madagascar, Malawi, Mozambique, Namibia, Niger, Nigeria, Rwanda, South Africa, Senegal, Sudan, Tanzania, Uganda, and Zambia. The study also represents an unprecedented effort to collect detailed economic and technical data on African infrastructure in relation to the fiscal costs of each of the sectors, future sector investment needs, and sector performance indicators. As a result, it has been possible for the first time to portray the magnitude of the continent’s infrastructure challenges and to provide detailed and substantiated estimates on spending needs, funding gaps, and the potential efficiency dividends to be derived from policy reforms.

Data cited at: OECD/SWAC (2018), Africapolis (database), www.africapolis.org (accessed 05 February 2019); (FR):OCDE/CSAO (2018), Africapolis (base de données), www.africapolis.org (consultée le 05 février 2019).

Postharvest loss profiles (PHL profiles) quantify the expected loss – as a percentage – at each point along the postharvest chain. This loss data is collected by reviewing scientific literature and is broken down by crop, type of farm and climate type (based on the Köppen-Geiger climate classification). These profiles provide percentage loss figures for the various crops throughout the value chain under varying conditions and are updated as new research becomes available."   For complete reference information and definitions, Please visit: https://www.aphlis.net/en/page/20/data-tables#/datatables?year=20&tab=references&metric=prc

Data cited at: The African Development Bank: Producer food prices in African countries: https://dataportal.opendataforafrica.org/syyplpc

Socio-economic Database for Africa, 2013

This dataset provides data on literacy rates, primary and secondary school attendance rates access to improved water and sanitation, household access to electricity, and household ownership of radio and television. Unlike other datasets, notably the World Bank’s World Development Indicators (WDI), this dataset provides data at the subnational level, specifically the first administrative district level. Furthermore, the data is comparable both within and across countries. This subnational level of data allows for assessment of education and household characteristics at a more relevant level for allocation of resources and targeting development interventions.

Data cited at: https://botswana.opendataforafrica.org/stuwedg Tourism Statistics by country of origin, Botswana

Data cited at: The African Development Bank: Water Utility Database: https://www.infrastructureafrica.org/dataquery/ The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries. Between them, these countries account for 85 percent of the sub-Saharan Africa population, GDP, and infrastructure inflows. The countries included in the initial study were: Benin, Burkina Faso, Cameroon, Cape Verde, Chad, Côte d’Ivoire, Democratic Republic of Congo, Ethiopia, Ghana, Kenya, Lesotho, Madagascar, Malawi, Mozambique, Namibia, Niger, Nigeria, Rwanda, South Africa, Senegal, Sudan, Tanzania, Uganda, and Zambia. The study also represents an unprecedented effort to collect detailed economic and technical data on African infrastructure in relation to the fiscal costs of each of the sectors, future sector investment needs, and sector performance indicators. As a result, it has been possible for the first time to portray the magnitude of the continent’s infrastructure challenges and to provide detailed and substantiated estimates on spending needs, funding gaps, and the potential efficiency dividends to be derived from policy reforms.

Note: World Economic Situation and Prospects, 2021 update available here: https://knoema.com/WESP2021/