Kazakhstan administrative level 0 (country), 1 (region), and 2 (district) boundaries These boundaries are suitable for database or GIS linkage using the P-codes to the Kazakhstan - Subnational Population Statistics tables.

Kyrgyzstan administrative level 0 (country), 1 (province, independent city [EN]; область, город [RU]; облусу, шаар [KY]), 2 (district [EN]; район, [RU]; району [KY]), and 3 (community [EN]; айылный аймак [RU]; айыл аймаг [KY]) boundary polygon and line shapefiles and gazetteer. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.

This dataset contains population estimates for Kyrgyzstan from 2018 at country-level and first and second administrative levels. It includes a breakdown by urban and rural areas and has population disaggregated by sex and age (at country and first administrative levels). REFERENCE YEAR: 2018 The file includes a sheet with metadata. Please note that data from the 2009 population census is available here: https://data.humdata.org/dataset/kyrgyzstan-population-census-2009

REFERENCE YEAR: 2019 This dataset contains population estimates for Georgia as of 1 January 2019 at country-level, including a breakdown by sex, age groups and urban and rural areas. It also contains population statistics from the 2014 census at first administrative level (mkhare/regions, Tbilisi independent city and autonomous republics), second administrative level (municipalities and independent cities), third administrative level (communities, boroughs, cities and villages) and for all populated places in the country. All population numbers are disaggregated by sex. The population numbers are also disaggregated by age, except for the population numbers for the districts in Tbilisi (admin2), the population numbers at admin3 and the population numbers of the populated places. Please note that these datasets do not include population numbers for the Georgian breakeaway regions of Abkhazia and South Ossetia. The files each include a sheet with metadata. The administrative level 0, 1, and 2 tables are suitable for database or GIS linkage to the Georgia administrative level 0-2 boundaries.

This dataset contains population estimates for Azerbaijan from 2018 at country-level and first administrative level (consolidating Baku into one feature), suitable for database and GIS linkage to the Azerbaijan - Subnational Administrative Boundaries, and special tables for economic regions and a version of the first administrative level that includes 11 distinct Baku features. REFERENCE YEAR: 2018

Uzbekistan administrative level 0 (country), 1 (province / viloyat, autonomous republic / respublika, or independent city / shahar), and 2 (district / tuman) boundary polygon and line shapefiles, and gazetteer. 27 May 2020 update: A topology error affecting all levels was corrected in the shapefiles only. The administrative level 1 shapefile is suitable for database or GIS linkage to the administrative level 1 population statistics table available on HDX here.

Azerbaijan administrative level 0-1 boundaries Place codes and names in Azerbaijani were taken from official site of The State Statistical Committee of the Republic of Azerbaijan (İnzibati-ərazi bolgüsü təsnifati, 2013). All place codes of the admin1 units, except for Baku and Nakhchivan, are unofficial. Names in English were taken from Statistical Yearbook of Azerbaijan 2016. Boundary geography is provided for administrative level 0 (country) and administrative level 1 (districts and independent cities, consolidating Baku as one feature. Gazetteer information is also provided for economic regions (positioned between administrative level 0 and 1) and for the set of districts and independent cities that include 11 features for Baku. All four of these sets are represented and can be linked by database or GIS to the https://data.humdata.org/dataset/azerbaijan-population-statistics tables.

This dataset contains population estimates for Armenia for 2019 at country-level and first administrative level. It includes a breakdown by urban and rural areas and has population disaggregated by sex and age groups. REFERENCE YEAR: 2019 The file includes a sheet with metadata.

Georgia administrative level 0 (country), 1 (region, city, or autonomous republic), 2 (district or self-governing city), and 3 (community, etc.) boundaries Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. UPDATE 20 May 2020 The geodatabase resource was updated. The previous geodatabase was not the correct ITOS file. These boundaries are suitable for database or GIS linkage to the Georgia - Population Statistics

Armenia administrative level 0 (country), 1 (province), and 2 (unofficial) boundaries. NOTE the gazetteer extends to level 3 (municipal community).

SRTM DEM Data: Resolution 90m; There are five 5 x 5 deg tiles to cover the whole country. Version 3 of the CSI-SRTM data (srtm.csi.cgiar.org) with improved hole-filling algorithms which make use of ancilliary data sources where they are available. The data originate in the NASA Shuttle Radar Topographic Mission (SRTM) data held at the National Map Seamless Data Distribution System . The data have been processed by Dr. Andrew Jarvis of the CIAT Land Use project , in collaboration with H.I. Reuter, A. Nelson and E. Guevara to fill in data voids and produce a seamless mosaic.

REFERENCE YEAR: 2010 This dataset contains population statistics for Tajikistan. It has total population, number of households and household average size. The dataset at L0, L1 and L2 levels and population numbers are based on the Census conducted in 2010. File contains description of dataset fields.

The subnational INFORM model for Caucasus and Central Asia was initiated by the Regional Inter-Agency Standing Committee (IASC) Task Force for Caucasus and Central Asia and is managed by OCHA. The INFORM model is being used to support coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region. INFORM identifies areas at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk. The regional subnational INFORM model for Caucasus and Central Asia is developed at the first administrative level (corresponding to the provinces/oblasts/regions and few independent cities) of the eight countries in South Caucasus and Central Asia. The INFORM index supports a proactive crisis management framework. It will be helpful for an objective allocation of resources for disaster management as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies.

Fundamental Operational Dataset in Education – Overview and details of Schools It includes detail on the type of school, school location, capacity and number of students, building design and school area. More detailed information is currently being analyzed and will be added in a new version of the dataset

An overview of the administrative divisions for Tajikistan, including their associated names and unique identifiers (according to the OKATO classification system). The overview includes administrative level 1 (Viloyat + independent city) and administrative level 2 (Nohiya + independent cities). Administrative level 3 (Jamoat) has not been included in this overview, as these have recently changed (geographical boundaries, names and OKATO codes) and it has not been possible to verify the most recent overview. OCHA's Regional Office for the Caucasus and Central Asia is maintaining a dataset with the geographical boundaries of administrative levels 1 and 2 for preparedness purposes, but is not allowed to make it public. In case of a major humanitarian emergency, this geographical dataset will be shared with humanitarian agencies.

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.

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.

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.

Health facilities in the Kyrgyz Republic

Fundamental Operational Dataset in Child Protection – List of Residential Centres for Children in Kyrgyzstan