The OCHA Regional Office for the Caucasus, Central Asia and Ukraine (ROCCA) is based in Almaty, Kazakhstan.
OCHA ROCCA improves levels of preparedness in the region through early warning and contingency planning, ensuring the inclusion of all relevant key partners. OCHA ROCCA makes sure that Governments, civil society and international actors are well prepared, so that in the face of slow- or sudden-onset emergencies, the entire humanitarian community joins efforts to assist affected people.
In slow- or sudden-onset disasters or crises, OCHA ROCCA provides specialized support to country offices and partners within its areas of expertise, including surge teams, emergency response coordination, information management, advocacy and resource mobilization.
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Updated November 21, 2018
| Dataset date: Nov 21, 2018
This dataset updates: Every year
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 KMZ files, and gazetteer.
Updated August 16, 2018
| Dataset date: Jul 16, 2018
This dataset updates: Every year
An overview of the administrative divisions for Kazakhstan.
Place codes and names in Kazakh and Russian were taken from the "классификатор административно-территориальных объектов" classification system - or "КАТО" in short - developed by the Committee on Statistics under the Ministry of National Economy of the Republic of Kazakhstan. English names of the administrative divisions are unofficial.
Updated August 15, 2018
| Dataset date: Aug 21, 2014
This dataset updates: Every year
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
Updated August 15, 2018
| Dataset date: Jan 1, 2000
This dataset updates: Every year
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.
Updated August 15, 2018
| Dataset date: Jan 1, 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 July 17, 2018
| Dataset date: Dec 31, 2016
This dataset updates: Every year
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.
This dataset contains population estimates for Armenia for 2017 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.
The file includes a sheet with metadata.
Data from the 2011 population census is available here: https://data.humdata.org/dataset/armenia-population-census-2011
This dataset contains population estimates for Kyrgyzstan from 2017 at country-level and first, second and third administrative levels. It includes a breakdown by urban and rural areas (up to admin level 2) and has population disaggregated by sex and age (at country and first administrative levels).
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
This dataset contains population estimates for Kazakhstan from January 2016 at country-level and first administrative level. It includes a breakdown by urban and rural areas and has population disaggregated by sex and age. The file includes a sheet with metadata. Population data was taken from the Demographical Yearbook of Kazakhstan, Astana 2016.
It also includes a separate file on older population estimates from 2015. This includes population estimates at second administrative level. Note that it does not include population data on the new district Nauryzbay (which was added to the classification system in 2017 as new admin 2 unit).
Population data at settlement level is available from the 2009 census at https://data.humdata.org/dataset/kazakhstan-population-census-2009
This dataset contains population estimates for Georgia from 2016 at country-level, including a breakdown by 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.
Updated July 13, 2018
| Dataset date: Jul 12, 2018
This dataset updates: Every year
Uzbekistan administrative level 0 (country), 1 (province / viloyat, autonomous republic / respublika, or independent city / shahar), and 2 (district / tuman) boundary polygon and line shapefiles, KMZ files, and gazetteer.
The administrative level 1 shapefile is suitable for database or GIS linkage to the administrative level 1 population statistics table available on HDX here.
Updated February 6, 2018
| Dataset date: Mar 1, 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 December 18, 2017
| Dataset date: Jan 1, 2011
This dataset updates: Never
This dataset contains population census data from 2011 for Armenia. It has total population dissagregated by gender and age (yearly) at country and first administrative level.
Updated November 7, 2017
| Dataset date: Oct 1, 2014
This dataset updates: Every year
An overview of the administrative divisions for Armenia (taxonomy), including geographic boundaries for admin levels 0, 1, 2 and 3.
The admin1 and admin3 overviews are taken from the National Statistical Service (including the Pcodes they assigned). The second administrative level is not an official administrative level, but sometimes used by Government agencies. It was obtained from the Ministry of Emergency Situations of the Republic of Armenia (including the "RegionID" which they assigned).
Added a preceding 0 to the pcode of admin2 levels belonging to admin1 units 01-09, to ensure consistency in the number of digits (3).
For admin1 and admin3 levels, names in Armenian and English are from the National Statistics Service. Russian names and alternative English names are from the Ministry of Emergency Situations of the Republic of Armenia.
The United Nations Office for the Coordination of Humanitarian Affairs (OCHA), Regional Office for Caucasus, Central Asia and Ukraine (ROCCA) received the geographic boundaries on 10 October 2014 from the State Committee of the Real Property Cadastre of the Government of the Republic of Armenia. The source of the dataset is the Ministry of Emergency Situations of the Republic of Armenia.
There has just been a reform on the hamaynkner/communities, which explains why the correct geographical boundaries are not available yet. The resources above include different unprocessed shapefiles of the previous admin3 boundaries, before the reform. These need to be used with caution - some have projection issues.
Please note that there are inconsistencies in the country outline between the various admin boundaries.
ITOS is planning to review these datasets in 2017.
An overview of the administrative divisions for Azerbaijan.
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.
Russian names of administrative units of Administrative Level 1 are unofficial.
Please note that the first administrative level is not an official administrative level, but sometimes used by Government agencies. See for example the Regional Development Center in Azerbaijan: http://azregionaldevelopment.az/az/regionlar.html. In their map, only Baku is missing as separate admin1 unit.
This dataset contains population estimates for Azerbaijan from 2016 at country-level, first and second administrative level. It includes a breakdown by urban and rural areas and has population disaggregated by sex (at all levels) and age (only at country-level).
The file includes a sheet with metadata.
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.
Updated July 9, 2017
| Dataset date: Feb 2, 2009-Nov 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.
This dataset contains population estimates for Tajikistan at country-level, first administrative level (viloyat/regions and independent city) and second administrative level (nohiya/districts and independent cities), including a breakdown by urban and rural areas. The population numbers at country-level and first administrative level are disaggregated by sex and age.
Please note that in the admin2 overview, the population numbers for the four districts in Dushanbe are missing.
The file includes a sheet with metadata.
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.
