Updated January 19, 2020
| Dataset date: Jan 1, 2019-Aug 31, 2019
This dataset updates: Every month
This dataset brings together data from a range of sources to provide a greater overall and comparative understanding of the current situation and context inside each district. The core indicators consist of key drivers (conflict, basic commodity prices, exclusion and marginalization, and disrupted access to life-saving services and income sources) and their major expected humanitarian impacts (food insecurity, cholera). The dataset includes a mix of quantitative and qualitative data. Qualitative data is collected by ACAPS through daily media monitoring, secondary data review, thematic products and discussions with experts in Yemen and the region. ACAPS tracks changes in these indicators and alerts the humanitarian community to emerging trends or risks that could overwhelm local coping mechanisms in Yemen, triggering a humanitarian emergency. This dataset forms the core of ACAPS Yemen Crisis Insight bi-monthly products such as the Yemen: Crisis Impact Overview and Yemen Risk Overview, and ad hoc risk alerts.
Updated January 17, 2020
| Dataset date: Jun 8, 2019
This dataset updates: As needed
This dataset presents the distribution of the 4 local languages officially recognized in the DRC, and this distribution is made by territory. These are Kikongo, Swahili, Lingala and Kiluba. French and English are recognized as international languages. There are several dialects in the DRC regrouped in these 4 languages.
This data set has been collected from official databases and contains:
1- Youth Population (15-35) for 2018 and 2063
2- Proportion of Youth Members of Parliaments (Lower and Upper house)
3- Ratification of African Youth Charter
4- Existence of Youth Policy
Updated March 16, 2019
| Dataset date: Feb 5, 2018
This dataset updates: Never
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
Updated December 10, 2018
| Dataset date: Jun 1, 2016-Dec 3, 2018
This dataset updates: Never
Dataset shows the County Allocation of Revenue Act 2017 and Office of the Controller of Budget approved Estimates.The FY 2017/18 Total Includes Ksh 4.0 Billion allocated to County Governments as Conditional Grant Under The KDSP(Level 2) Grant.
The data set consists of district wise per capita gross national income for 2014. The variable used for per capita gross national income are agriculture and forestry, fishing, mining and quarrying, manufacturing, electricity, gas and water, construction, wholesale and retail trade, hotels and restaurants, transport, storage and communications, financial intermediation, real estate, renting and business activities, public administration and defense, education, health and social work, other community, social and personal services activities, total economy including financial intermediation service indirectly measured (total value added), total economy at basic price (total value added), GDP at market price, factor income, GNI, per capita income ( Rs. at), per capita income ($) and per capita income, PPP ($). The data is extracted from Nepal Human Developement Report (2014) by UNDP (http://www.npc.gov.np/new/uploadedFiles/allFiles/NHDR_Report_2014.pdf).
Updated August 29, 2017
| Dataset date: Jan 29, 2016-Aug 4, 2016
This dataset updates: Never
Within 24 hours of the World Health Organization declaring the Zika virus a global health emergency, RIWI began a study in 9 countries across the Americas capturing over 30,000 respondents. Data collection targeted respondents' knowledge of Zika virus transmission mechanisms and confidence in government health agencies to treat and contain the epidemic. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
In 2014, RIWI Corp. launched an online survey in Nigeria, Liberia, and Sierra Leone capturing public perceptions data from over 4,000 respondents on the status of Ebola in those countries. Respondents were asked a series of questions related to their confidence in government and aid agencies to manage the Ebola outbreak, as well as their own behavioral response to the infection. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
Updated December 8, 2015
| Dataset date: Oct 31, 2014-Jul 31, 2015
This dataset updates: Never
Maisha is VoicesAfrica’s online pan Africa study on lifestyle and viewpoints on various aspects of life. The research report covers the following information areas:
Income and expenditure
• If earn a personal income
• Share of wallet
• Whether overall expenditure has gone up, down, or remained the same compared to the previous year
Values
• Determinants of well being
• Aspects that have made life better/worse
• Threats to self and country
Role models
• Most admired personality
• Part of the world/Africa that offers greatest inspiration and hope
Africa unity
• If would support the integration of all African countries
Technology
• Devices used
• Device that has made life better/worse
• Device that has had greatest influence in life
Attitudes
• Response to statements on politics, insecurity, family, religion, sports, patriotism, economy, corruption, health, relationships, among others
