Updated
27 May 2019
| Dataset date: January 01, 2019-December 31, 2019
This dataset updates: Every year
Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets.
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).
Updated
16 March 2019
| Dataset date: February 05, 2018-February 05, 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
1 October 2018
| Dataset date: December 30, 2011-December 30, 2016
This dataset updates: Never
Registered Births by County and Place of Occurrence, 2012- 2016. This dataset is an extract from the Statistical Abstract release by the Kenya National Bureau of statistics
Updated
10 September 2018
| Dataset date: September 12, 2018-September 20, 2018
This dataset updates: Every three months
Idleb governorate and the surrounding opposition-held areas of western Aleppo and north-western Hama governorates* host one of the largest IDP populations in Syria. Since late 2017, following an escalation of violence in north-western and southern Syria, the region has witnessed the further arrival of a substantial number of IDPs. Large cross-line displacements from Eastern Ghouta, northern Homs and southern Hama, as well as Da'ra and Quneitra governorates, beginning in March 2018, have led to a significant increase of the IDP population in the region and to a growing strain on resources and services in the region. While humanitarian assistance is reaching both IDP and resident populations, major gaps remain. In order to address such gaps, REACH has conducted a needs assessment to inform humanitarian actors of IDP and resident populations' priority needs and to address critical information gaps on the humanitarian conditions of IDPs and residents living in communities in the region. This data set provides the findings from this assessment.
Findings presented in this data set are based on data collected by REACH as part of a needs assessment focused on IDP and resident populations living in communities of Idleb governorate and surrounding areas. Data was collected in 362 communities across 30 sub-districts between 12 and 20 August 2018. Data was collected at the community level, with enumerators interviewing between 2 and 7 key informants (KIs) per community and with KIs selected based on their knowledge of IDP and resident populations in the community and sector-specific expertise. Communities were assessed based on available data on total populations, focusing on those reported to have large IDP and resident populations and those that have received a high number of IDP arrivals in the two months prior to the start of data collection. Collected primary data was further triangulated through available secondary sources.
Updated
15 August 2018
| Dataset date: January 01, 2009-January 01, 2009
This dataset updates: Never
This dataset contains population census data from 2009 for Kyrgyzstan. It has total population dissagregated by gender and urban/rural area at country level and first and second administrative levels. It includes the number of households for these administrative areas and the average household sizes.
The data was received through UNFPA from the National Statistical Committee of the Kyrgyz Republic.
Updated
23 May 2018
| Dataset date: May 23, 2018-May 23, 2018
This dataset updates: Every year
Representa el número anual de nacimientos entre mujeres de 15 a 19 años, por cada 1,000 mujeres en ese grupo de edad. También se lo conoce como la tasa de fertilidad específica por edad para las mujeres de 15 a 19 años.
Updated
7 December 2016
| Dataset date: March 01, 2015-March 01, 2015
This dataset updates: Every year
According to information by the Ministry of Labour, Health and Social Affairs , 118 651 persons with disabilities are registered as recipients of state social assistance by 1 March, 2015 in Georgia that constitutes 3 percent of total population resided in Georgia.
This dataset provides a breakdown of the number of persons with disabilities by first administrative level (region), and a detailed breakdown for the districts belonging to the capital city of Tbilisi.
The provided information depicts the number of disabled persons receiving state social pension/allowance (beneficiaries) across the country. In light of this, state policy determines the total number of disabled persons by the sum of beneficiaries, which directly is connected to the actual number of disabled people living in Georgia. The actual number of disabled persons in Georgia is likely to be higher.
Updated
24 November 2016
| Dataset date: July 15, 2015-July 15, 2015
This dataset updates: Never
The AfDB Statistics Department and the Fragile States Unit have compiled this data set from various sources (the World Bank, WHO, IMF, and many others)
Updated
25 November 2015
| Dataset date: February 02, 2009-November 30, 2014
This dataset updates: Every year
This dataset contains population census data from 2009 for Kazakhstan at settlement level. It also includes the number of households at country level and first and second administrative levels from 2014.
Updated
25 November 2015
| Dataset date: July 01, 2015-July 01, 2015
This dataset updates: As needed
This dataset represents the census (RGPHAE 2013) and projections 2014-2025 of the population of Senegal at Admin2 level (Department) disagregated by sex.
Updated
25 November 2015
| Dataset date: March 21, 2015-March 19, 2016
This dataset updates: Never
The population data was sourced from the Central Statistics Organization (CSO) and should be used in accordance with the "Estimated Population of Afghanistan 2015/16" report prepared by the Islamic Republic of Afghanistan CSO. Age and gender disaggregated estimates are calculated based on proportion of population in each cohort in the 2011/2012 National Risk and Vulnerability Assessment (NRVA) report.
This is an archived version of population projections. The current version can be found on https://data.humdata.org/dataset/afg-est-pop.
Updated
24 November 2015
| Dataset date: February 01, 2008-February 01, 2008
This dataset updates: Every year
An Excel archive of ethnic demographic data by municipality in Colombia, based on the 2005 census results. The ethnic categories include Afro-colombian, indigenous, as well as "Raizal" and "ROM", which should be understood as Afro-colombians from San Andres and Romany populations. The data is organized by municipality, with the DIVIPOLA p-code scheme.
